Centre for Internet and Society

Trans Pacific Partnership and Digital 2 Dozen: Implications for Data Protection and Digital Privacy

Shubhangi Heda — 2016-07-12T07:56:24Z

In this essay, Shubhangi Heda explores the concerns related to data protection and digital privacy under the Trans Pacific Partnership (TPP) agreement signed recently between United States of America and eleven countries located around the pacific ocean region, across South America, Australia, and Asia. TPP is a free trade agreement (FTA) that emphasises, among other things, the need for liberalising global digital economy. The essay also analyses the critical document titled ‘Digital 2 Dozen’ (D2D), which compiles the key action items within TPP addressing liberalisation of digital economy, and sets up the relevant goals for the member nations.

1. Introduction

2. Analysis of TPP and D2D

2.1. Trans Pacific Partnership (TPP)

2.2. Digital 2 Dozen (D2D)

3. Major Criticisms of the Digital Agenda of TPP

3.1. Data Protection

3.2. Digital Privacy

4. Implications of TPP for RCEP

5. Implications of TPP in the Context of EU Safe Harbour Judgement

6. Implications of TPP for India after US-India Cyber Relationship Agreement

7. Conclusion

8. Endnotes

9. Author Profile

1. Introduction

This essay explores the concerns related to data protection and digital privacy under the Trans Pacific Partnership (TPP) agreement signed recently between United States of America and eleven countries located around the pacific ocean region, across South America, Australia, and Asia [1]. TPP is a free trade agreement (FTA) that emphasises, among other things, the need for liberalising global digital economy. The essay also analyses the critical document titled ‘Digital 2 Dozen’ (D2D), which compiles the key action items within TPP addressing liberalisation of digital economy, and sets up the relevant goals for the member nations. TPP requires the member countries to facilitate unhindered digital data flow across nations, for commercial and governmental purposes, which evidently have major implications for national and regional data protection and privacy regimes. These implications must also be seen in the context the recent judgement by the EU Court of Justice against the validity of the EU-USA data transfer agreement of 2000. Further, the essay discusses the potential impacts that TPP/D2D might have on India, in the context of the ongoing USA-India Cyber Relationship dialogue. If the privacy concerns are not raised right now TPP might act as a model framework for future FTAs which will fail to encompass proper data protection and digital privacy regime within it.

2. Analysis of TPP and D2D

2.1. Trans Pacific Partnership (TPP)

Trans Pacific Partnership (TPP) is a large multi-partner free trade agreement amongst twelve Asia-Pacific countries, which is closely led by geo-political and economic strategies of the USA. Countries started the negotiation of TPP in 2008 when USA joined Pacific Four (P-4) negotiations and in 2015 negotiations of TPP was concluded and text was released. Ministers from the member countries signed the agreement on February 4, 2016 [2]. The main aim of TPP is to liberalise trade and investment beyond what is provided for within the WTO. It is also considered to be a strategic move by the US to counter the trade linkages that are being established in the Asian region. TPP largely covers topics of market access, and rules on various related issues such as intellectual property rights, labour laws, and environment standards [3].

Between 1992 -2012 there has been an upsurge in bilateral trade agreements being signed in Asia from 25 to 103 and the effect of these FTAs is called the ‘noodle bowl effect’. TPP is seen as framework which will replace these FTAs which are causing the ‘noodle bowl effect’.While these FTAs are being replaced but with TPP being signed there are various bilateral arrangements signed along with TPP. USA has also stated that TPP will not affect the already existing NAFTA [4]. While TPP is being concluded there is another free trade agreement being negotiated between USA and EU , which is Trans Trade and Investment Partnership (TTIP). Both TPP and TTIP and are considered to be serving similar objective which is to deal with new and modern trade issues. Also both the agreements are US led and since negotiation for TPP are now finalised it may have a significant impact on TTIP [5].

TPP is one of the first document which deals specifically with digital economy and applies across borders. The main aims of TPP are to promote free flow of data across borders without data localisation. It aims to remove national clouts and regional internets. It also includes provisions to combat theft of trade secrets. It allows you to create transparent regulatory process with inputs from various stakeholders. It also aims to provide access to tools and procedures for conduct of e-commerce [6].

Some of the major criticism to TPP were regarding the issues related to [7]:

environment, wherein it does not address the issue of climate change and the language used in the agreement is very weak;
labour rights provision mandates parties to adhere to the ILO provision but it does not seem to provide for effective framework and might not bring the desired change;
investment chapter is seen to be controversial because of the investor state dispute settlement clause which will allow foreign investor to sue government over policies that might cause harm to them;
e-commerce and telecommunication chapter raises major privacy concerns;
intellectual property chapter wherein it includes controversial rules regarding pharmaceutical companies and data exclusivity apart from the privacy concerns.

2.2 Digital 2 Dozen (D2D)

D2D is set of rules and aims which is specifically drafted to be followed for the trade agreements related to open internet and digital economy. More specific aims of TPP as provided within the ‘Digital 2 Dozen,’ aiming for more liberalised trade in digital goods and services, are [8]:

promoting free and open internet,
prohibiting digital custom duties,
securing basic non-discrimination principles,
enabling cross-border data flows,
preventing localization barriers,
barring forced technology transfers,
advancing innovative authentication methods,
delivering enforceable consumer protections,
safeguarding network competition,
fostering innovative encryption products, and
building an adaptable framework.

Strategic goal of the US in introducing D2D as goals of TPP has been to set up a trend within Asian region for all the trade agreements. It is expected to ensure that if TPP is a success, similar goals and policy frameworks will be followed for other trade agreements as we. For example, the USA-India partnership also enshrines similar aims and so does the USA-Korea partnership. Hence while India is not part of TPP, USA is nonetheless trying to get India into a partnership which is similar to the TPP. The language proposed by the USA in TPP negotiations has always been supportive for cross border data flows as it claims that companies have mechanism to keep a privacy check and privacy would not be undermined, but countries like New Zealand and Australia which have strong privacy protection laws nationally have raised concerns which will be discussed in further sections [9]. Also not only in privacy rights but Digital Dozen initiative also affects other digital rights related to - excessive copyright terms TPP proposed to extend the term of copyright to hundred years which deprive access to knowledge; as in the U.S motive to give more power to private entities , the ISP obligations enumerated within TPP which puts freedom of expression and privacy at risk as ISPs are allowed to check for copyright infringement and TPP does not put any privacy restriction in this regard; introduction of new fair use rules; ban on circumvention of digital locks or DRMs; no compulsory limitation for persons with disabilities; lack of fair use for journalistic right; while net neutrality is major issue is many developing nations in Asia no effective provision for net neutrality is aimed at in the D2D initiative; prohibits open source mandates which puts barrier for countries which want to release any software as open source as a policy decision [10].

3. Major Issues Related to Data Protection and Privacy in the TPP

3.1. Data Protection

One of the major concern raised against TPP is regarding data protection provisions that have been integrated within the E- Commerce chapter of the agreement. Article 14.11 and Article 14 .13 are the ones that deal with data flow related to consumer information.Article 14.11 in the agreement puts a requirement on the member states to allow transfer of data across border and Article 14.13 does not allow the companies to host data on local servers. Concerns were raised in few member states for instance, Australian Privacy Foundation raised concerns over Article 14.11 which requires transfers to be allowed in context of business activities of service suppliers. It claimed that exception to this provision is very narrow and the repercussion for not following the exception is that investor state dispute settlement proceedings can be initiated, which is not sufficient to protect privacy. Also, it highlighted the issue that with the narrow exception provided under Article 14.13 which relates to prohibition on data localisation, it might have adverse effect on the implementation of national privacy laws within Australia [11].

Another provision which is of major concern is Article 14.13 which prohibit data localisation. It will raise problems for countries like Indonesia and China which will have to change their local laws to implement the provision [12]. Since there already has been a major concern with regard to USA- EU Safe Harbour Agreement which was later made subject to the ECJ’s ruling on data protection, which invalidated any arrangement which provides voluntary enterprises responsibility to enforce privacy. But both the USA and EU are in process of renegotiating the agreement.The major concern was that in EU data protection is a fundamental right while in USA data protection is more consumer centric. When similar concerns were raised in TPP negotiations, they were rebutted as USA claimed that FTA does not concern itself with data protection [13].

In 2012 Australia proposed an alternative language to TPP which allowed countries to place restriction on data flow as long as it was not a barrier to trade. U.S responded to concerns raised by the Australia through a side letter which ensured Australia that U.S and Australia have a mutual understanding in relation to privacy and U.S will ensure the privacy of data with regards to Australia. While Australia’s concern was given acknowledgement other countries which raised similar issues were not given any assurances [14]. US instead proposed ad- hoc strategy that gave private companies power to form privacy policy with implementation through state machinery [15].

3.2. Digital Privacy

Article 14.8 in the E- Commerce chapter of the agreement states that countries can form legal framework for the protection of rights but the kind of ‘legal framework’ is not defined. Also, nowhere it states that the privacy protection or data protection laws are expressly exempted, rather it states that any such policy implemented by member states will be put under review of TPP standards. The standards which TPP proposes to follow are based on the underlying idea that any such policy should not hinder free trade in any way. This test will be applied by tribunals which are experts in trade and investment and not on data protection or human rights [16]. While Article 14.8 provides for protection of private information of consumers but the footnote to the provision renders it ineffective. The footnote states that member countries can adopt legal framework for the protection of data which can be done by self-regulation by industry and does not provide for any comprehensive data protection obligation upon the member states [17]. Similar to this Article 13.4 of the telecommunications chapter under TPP also states that the countries can apply regulation regarding confidentiality of the messages as long as it is not “a means of arbitrary or unjustifiable discrimination or a disguised restriction on trade in services" [18].

Another chapter which raises major concerns about the privacy rights is intellectual property. It affects privacy through the provisions related to technological protective measures and the provision that regulate ISP’s liability. Regarding the TPM provision, the TPP follows the DMCA model whereby the exception to anti- circumvention provision is very narrow and does not apply to anti- trafficking provision. The exception allows user to circumvent TPM if it affect the user's privacy in any way, although this provision does not apply to ant- trafficking of TPM. The provision regarding ISP’s liability states that there should be cooperation between ISPs and rights holders and it does not prohibit ISPs to monitor its users. Also TPP proposes the notice for takedown and identification of the infringer by the ISP but this provision is not in consonance with laws of member states, like that of Peru which does not have any copyright law on ISP . Also many countries have tried to introduce proper privacy laws along with implementation of ISP liability but that is not done within the TPP [19]. TPP as whole aims to give greater power to private regulators without providing for minimum standard for protection of privacy.

Although TPP is not a data protection agreement but it consequently deals with various aspects of data protection, hence it is prospective model for privacy and data protection practices in future trade agreements. If positive obligations are included within the free trade agreements it will have an advancing impact on the data protection regime.

4.Implications of TPP for RCEP

While TPP has such lacunas similar provision are proposed in RCEP to which India is a party and which will have serious implication as many of the countries have inadequate data protection laws nationally and with the introduction of such an FTA the exploitation of privacy rights will be rampant [20]. To avoid this EU directive on data protection should be taken into consideration in the negotiations of such FTAs. But for the RCEP negotiations are still going on and in India many companies like Flipkart, Snapdeal etc. have started preparing for the changing norms. The government claims that it is going to accept best practices in the region which indicates that it is going to have same policies as that of TPP. Although people from industry have raised concerns that while there are national laws but it is difficult to check third party involvement within the business and it is becoming increasingly difficult to keep the consumer data confidential [21].

5. Implications of TPP in the Context of EU Safe-Harbour Judgement

Mr. Maximillian Schrems, an Austrian National residing in Austria, has been a user of the Facebook social network since 2008. Any person residing in EU who wishes to use Facebook is required to conclude, at the time of his registration, a contract with Facebook Ireland (a subsidiary of Facebook Inc. which itself is established in Unites States). Some or all of the personal data of the Facebook Ireland’s users who residing in EU is transferred to servers belonging to Facebook Inc. that are located in United States, where it undergoes processing. On 25 June 2013 Mr Schrems made a complaint to the commissioner by which he in essence asked the latter to exercise his statutory powers by prohibiting Facebook Ireland from transferring his personal data to Unites States, and this led to the Maximillian Schrems v Data Protection Commissioner case [22]. He contended that in his complaint that the law and practice in force in that country did not ensure adequate protection of the personal data held in its territory against the surveillance activities that were engaged in thereby by the public authorities. Mr Schrems referred in this regard to the revelations made by Edward Snowden concerning the activities of the United States intelligence services, in particular those of the NSA.(para 26, 27, 28). The case came in the court ruled that “that a third country which ensures an adequate level of protection, does not prevent a supervisory authority of a Member State, within the meaning of Article 28 of the EU 94/46 directive as amended, from examining the claim of a person concerning the protection of his rights and freedoms in regard to the processing of personal data relating to him which has been transferred from a Member State to that third country when that person contends that the law and practices in force in the third country do not ensure an adequate level of protection. The ruling implies that personal data cannot be transferred to third country which does not provide adequate level of protection.

EU safe harbour judgment and EU directive on privacy provide contrasting rules related to privacy. While TPP gives power to private entities to formulate rules regarding privacy while the recent ECJ judgment invalidated giving such power to private entities under EU-US Safe Harbour Agreement. Also in context of the same judgment Hamburg’s Commissioner for Data Privacy And Freedom of Information announced an investigation into the data transfer taking place through Facebook and Google to U.S. Hence in the light of the recent judgment member states within EU are not allowed to permit cross border data flow, in contrast to this one of the main goals of TPP is to maintain free flow of data across border [23]. EU is this regard has also set forth the proposal to introduce General Data Protection Regulation. (GDPR). Although U.S and EU are trying to renegotiate the agreement but the privacy concerns raised cannot be ignored. Hence following the same model as was invalidate under the ECJ judgment lets US exploit privacy of member states under TPP. Similar concerns as raised within the judgment are also raised in India as it also following the same model within U.S-India Cyber Relationship Agreement and in RCEP negotiations.

6. Implications of TPP in the context of USA-India Cyber Relationship

While India is not part of TPP but it might have an effect on the U.S India Cyber Relationship Agreement. In August 2015 there was re- initiation of the India-U.S cyber dialogue to address common concerns related to cybersecurity and to develop better partnerships between public and private sector for betterment of digital economy [24]. One of the key aim of this agreement is free flow of information between two nations, which suffers from similar problem that it will put privacy of the citizens at risk. Also India does not have any bilateral treaty which ensures cyber data protection in such a scenario the only solution is data localisation, but this agreement will put data at risk [25]. Hence while the TPP negotiations were going on and also RCEP is being discussed the concerns about privacy and data protection need to be raised as mention in earlier section regarding implications of TPP on RCEP, the USA-India Cyber Relationship also faces the same implications..Although the aim of USA-India Cyber Relationship is to ensure cybersecurity. After the cases of Muzaffarnagar riots, upheaval in North -Eastern states and Gujarat riots, India has realised it is important to ensure compliance from the social media companies. India sees the USA-India Cyber Relationship as an opportunity to achieve this goal. The Google Transparency Report states that that India made around three thousand requests to Google for user data [26], which indicate at the country's interest in having a common data understanding with the major social media companies (almost all of which are located in USA) about requesting and sharing of user activity data. While this concern is being addressed through the agreement, it is difficult to ignore the clause related to free flow of information, and if the meaning of the term is extended and adopted from TPP itself will put digital privacy of Indian citizens at risk [27].

7. Conclusion

Even though TPP negotiation are completed but the ratification of the agreement is still underway. TPP is being seen as one of a kind trade agreement because it is the first time that countries across the globe have come together as a whole to address concerns of modern trade. Although it fails to address some of the key concerns related to privacy and data protection which are becoming increasingly important. Data protection and privacy issues cannot be seen in isolation and needs to merged within the modern day trade agreements. The D2D component by the USA is strategic move to have trade dominance in Asia and to compete with China’s growth . TPP has privacy and data protection lacunae within the e- commerce , telecommunications and intellectual property discussion.Although it might have serious implications on RCEP negotiation and USA- India Cyber Relationship Dialogue. Similar concern regarding data protection has already been addressed by ECJ judgment invalidating USA-EU Safe Harbour Agreement but the similar ad - hoc strategy has been incorporated within TPP. Since TPP might be considered as best practice model for future FTAs in the Asian region it is important to raise and address these privacy concerns now.

8. Endnotes

[1] The signatory countries include Australia, Canada, Japan, Malaysia, Mexico, Peru, United States of America, Vietnam, Chile, Brunei, Singapore, New Zealand. "The Trans-Pacific Partnership," http://www.ustr.gov/tpp (last visited Jul 7, 2016).

[2] "The Origins and Evolution of the Trans-Pacific Partnership (TPP)," Global Research, http://www.globalresearch.ca/the-origins-and-evolution-of-the-trans-pacific-partnership-tpp/5357495 (last visited Jul 7, 2016).

[3] Fergusson, Ian F., Mark A. McMinimy & Brock R. Williams, "The Trans-Pacific Partnership (TPP): In Brief," (2015), http://digitalcommons.ilr.cornell.edu/key_workplace/1477/ (last visited Jul 1, 2016).

[4] Gajdos, Lukas, The Trans-Pacific Partnership and its impact on EU trade, Policy Department, Directorate-General for External Policies, Policy Briefing (2013), http://www.europarl.europa.eu/RegData/etudes/briefing_note/join/2013/491479/EXPO-INTA_SP(2013)491479_EN.pdf.

[5] Twining, Daniel, Hans Kundnani & Peter Sparding, Trans-Pacific Partnership: geopolitical implications for EU-US relations, Policy Department, Directorate-General for External Policies, June 24 (2016), http://www.europarl.europa.eu/RegData/etudes/STUD/2016/535008/EXPO_STU(2016)535008_EN.pdf.

[6] USTR, "Remarks by Deputy U.S. Trade Representative Robert Holleyman to the New Democrat Network," https://ustr.gov/about-us/policy-offices/press-office/speechestranscripts/2015/may/remarks-deputy-us-trade (last visited Jul 4, 2016).

[7] Murphy, Katharine, "Trans-Pacific Partnership: four key issues to watch out for," The Guardian, November 6, 2015, https://www.theguardian.com/business/2015/nov/06/trans-pacific-partnership-four-key-issues-to-watch-out-for (last visited Jul 7, 2016).

[8] USTR, "The Digital 2 Dozen" (2016), https://ustr.gov/sites/default/files/Digital-2-Dozen-Final.pdf (last visited Jul 1, 2016).

[9] Fergusson, Ian F.m Mark A. McMinimy & Brock R. Williams, "The Trans-Pacific Partnership (TPP) negotiations and issues for congress," (2015), http://digitalcommons.ilr.cornell.edu/key_workplace/1412/ (last visited Jul 8, 2016).

[10] "How the TPP Will Affect You and Your Digital Rights," Electronic Frontier Foundation (2015), https://www.eff.org/deeplinks/2015/12/how-tpp-will-affect-you-and-your-digital-rights (last visited Jul 7, 2016).

[11] Australian Privacy Foundation (APF), Trans Pacific Partnership Agreement (2016), https://www.privacy.org.au/Papers/Parlt-TPP-160310.pdf.

[12] Greenleaf, Graham, "The TPP & Other Free Trade Agreements: Faustian Bargains for Privacy?," SSRN (2016), http://papers.ssrn.com/sol3/Papers.cfm?abstract_id=2732386 (last visited Jul 1, 2016).

[13] "GED-Project: Transatlantic Data Flows and Data Protection," GED Blog (2015), https://ged-project.de/topics/competitiveness/transatlantic-data-flows-and-data-protection-the-state-of-the-debate/ (last visited Jul 1, 2016).

[14] Geist, Michael, "The Trouble with the TPP, Day 14: No U.S. Assurances for Canada on Privacy," (2016), http://www.michaelgeist.ca/2016/01/the-trouble-with-the-tpp-day-14-no-u-s-assurances-for-canada-on-privacy/ (last visited Jul 4, 2016).

[15] Aaronson, Susan Ariel, "What does TPP mean for the Open Internet?" From Policy Brief on Trade Agreements and Internet Governance Prepared for the Global Commission on Internet Governance (2015), https://www.gwu.edu/~iiep/events/DigitalTrade2016/TPPPolicyBrief.pdf (last visited Jul 5, 2016).

[16] Lomas, Natasha, "TPP Trade Agreement Slammed For Eroding Online Rights," TechCrunch, http://social.techcrunch.com/2015/11/05/tpp-vs-privacy/ (last visited Jun 30, 2016).

[17] "Q&A: The Trans-Pacific Partnership," Human Rights Watch (2016), https://www.hrw.org/news/2016/01/12/qa-trans-pacific-partnership (last visited Jul 1, 2016).

[18] "TPP Full Text Released," People Over Politics (2015), http://peopleoverpolitics.org/2015/11/07/tpp-just-as-bad-as-you-thought/ (last visited Jul 7, 2016).

[19] "Right to Privacy in Trans-Pacific Partnership (TPP ) Negotiations," Knowledge Ecology International, http://keionline.org/node/1164 (last visited Jul 1, 2016).

[20] Asian Trade Centre, "E-Commerce and Digital Trade Proposals for RCEP (2016)," http://static1.squarespace.com/static/5393d501e4b0643446abd228/t/575a654c86db438e86009fa1/1465541967821/RCEP+E-commerce+June+2016.pdf (last visited Jul 1, 2016).

[21] "E-commerce companies like Flipkart, Snapdeal to beef up data security to meet RCEP norms," The Economic Times, http://economictimes.indiatimes.com//articleshow/49068419.cms (last visited Jul 1, 2016).

[22] ECLI:EU:C:2015:650 (C -362/14)

[23] King et al., "Privacy law, cross-border data flows, and the Trans Pacific Partnership Agreement: what counsel need to know," Lexology, http://www.lexology.com/library/detail.aspx?g=b5c0b400-8161-4439-a4b7-131552ad5209 (last visited Jul 4, 2016).

[24] "U.S.-India Business Council Applauds Resumption of Cybersecurity Dialogue," U.S.-India Business Council (2015), http://www.usibc.com/press-release/us-india-business-council-applauds-resumption-cybersecurity-dialogue (last visited Jul 5, 2016).

[25] Sukumar, Arun Mohan, "India Is Coming up Against the Limits of Its Strategic Partnership With the United States," The Wire (2016), http://thewire.in/40403/india-is-coming-up-against-the-limits-of-its-strategic-partnership-with-the-united-states/ (last visited Jul 4, 2016).

[26] Countries – Google Transparency Report, https://www.google.com/transparencyreport/userdatarequests/countries/ (last visited Jul 8, 2016).

[27] Sukumar, Arun Mohan, "A case for the Net’s Ctrl+Alt+Del," The Hindu, September 5, 2015, http://www.thehindu.com/opinion/op-ed/a-case-for-the-nets-ctrlaltdel/article7616355.ece (last visited Jul 5, 2016).

9. Author Profile

Shubhangi Heda is a Student of Jindal Global Law School, O.P Jindal Global University. She has completed her fourth year. She gives due importance to popular culture in her life and loves to read fiction and like to watch TV-shows, her favorite being 'White Collar'.

For more details visit https://cis-india.org/internet-governance/blog/tpp-and-d2-implications-for-data-protection-and-digital-privacy

TRAI recommendations on data privacy raises eyebrows

Admin — 2018-07-19T13:33:44Z

The telecom regulator’s recommendations on data privacy have raised eyebrows over jurisdiction and timing, with IT ministry officials as well as companies questioning the need for it at a time when the government appointed Justice BN Srikrishna committee is in the final stages of drafting the data protection law.

The article by Surabhi Agarwal and Gulveen Aulakh was published in Economic Times on July 18, 2018. Swaraj Paul Barooah was quoted.

Telecom Regulatory Authority of India (TRAI) Chairman RS Sharma though countered that the sectoral watchdog has the jurisdiction to protect consumer interest in the sector, and those who feed off the industry - content providers, or apps, browsers, operating systems, and devices - need to be accountable as far as data protection is concerned.

TRAI Monday released its recommendations on the subject titled ‘Privacy, Security and Ownership of Data in the Telecom Sector’ which are applicable for apps, browsers, operating systems and handset makers.

An official of the Ministry of electronics and IT, which is tasked with drafting the data protection law, said that the Act will “prevail” over everything else. “Like any other sector, the data protection Act will be the final thing. In respect of telecom matters, there will be a role for TRAI as sectoral regulator but the basics of privacy will be governed by the data protection Act.”

The official also added that TRAI saying that their recommendations will be applicable till the data protection law comes into force "doesn't make sense since it won't have a legal mandate."

Industry bodies such as Internet and Mobile Association of India (IAMAI) and the Indian Cellular Association (ICA) have also criticised TRAI, saying the recommendations were “illegal” and akin to “jumping the gun” ahead of the release of the Srikrishna committee report.

Some of the clauses such as no use of metadata to identify individuals coupled with data minimisation will be detrimental to building the data business in the country, they said.

But Sharma was argued Trai was well within its rights to protect telecom consumers.

"Do I not have the jurisdiction to protect the interest of consumers in the telecom sector? I have that. And data protection of consumers in the telecom sector is an issue which is certainly related to the interest of consumers. I have deliberated on that issue, and I’m not saying that bring all those entities under my jurisdiction,” Sharma said.

He added that there is a regulatory imbalance because entities such as devices, OS, browsers and apps are not following any law. “So, the government can come up with a broad framework but till that time let the telecom rules apply on them too."

In its recommendations, TRAI said that individual users owned their data, or personal information, and entities such as devices were "mere custodians” and do not have primary rights over that information. It also said that the current framework for protection of personal information is “not sufficient” and suggested expanding the ambit of licence conditions governing telcos to all entities handling customer information.

In its statement, IAMAI, which represents companies such as Facebook and Google, called TRAI’s assertion that the existing framework is not sufficient to protect telecom consumers “contradictory.”

“The TRAI recommendations on privacy are premised on a voice and SMS regime. It is not meant for data driven business, which the app companies are. App companies use pseudo anonymous data and app companies do not give Call Detail Records. Incidentally, the Sri Krishna Committee under the Ministry of IT, which is the nodal body for apps as well as for handset manufacturers, is deeply, looking into this issue of consent, which is a fair thing to do.”

Voicing similar concerns, the ICA, which represents most of India’s top handset makers, said that the telecom watchdog has absolutely no powers to begin regulating on issues of privacy and ownership of data, leave alone having jurisdiction over devices, operating systems, browsers and applications.

“The industry rejects TRAI's attempts to expand its powers and usurp government's jurisdiction.” It added that TRAI “jumped the gun” by seeking to regulate the digital ecosystem without waiting for the data protection law under consideration by the Justice Srikrishna Committee. “This piecemeal approach is dangerous and unproductive.”

Handset makers such as Intex and Karbonn added they should be kept out of the ambit of the proposed regulations because they don't use customer data or monetise from it, which is mostly what apps do. Any additional pressure on indirect costs will lead to wafer-thin margins getting eroded further and consumers will have to bear the brunt, as it will lead to increase in prices of mobile phones.

Trai’s recommendations have been sent to the Department of Telecommunications (DoT) which has to take a final call on whether they will be adopted.

An official spokesperson for Zomato said that they have not been contacted by any of the regulatory bodies on this, as of now. “Our country is still undergoing the process of setting up a regulatory framework, and what happens between the TRAI recommendations and the B N Srikrishna's committee's draft for Data Protection bill will eventually help set up a much required benchmark.

In its suggestions, Trai said that as with telcos, all user data flows through smart devices, putting the device manufacturers, browsers, operating systems, and applications etc. in a prime position to collect and process the personal information of users. Since all user data passes through telcos and devices, appropriate steps must be taken to protect user privacy vis-a-vis these entities. “This will ensure, in prevailing circumstances, that the privacy of users is protected and maintained”.

Swaraj Paul Barooah, policy director at Center for Internet and Society, said that the recommendations is worrying at one level since “There is nothing in the telecom sector that requires interim urgent intervention and it may mean that the privacy framework maybe further delayed.”

For more details visit https://cis-india.org/internet-governance/news/economic-times-july-18-2018-surabhi-agarwal-and-gulveen-aulakh-trai-recommendations-on-data-privacy-raises-eyebrows

Token security or tokenized security?

Admin — 2018-01-17T00:17:41Z

Implementing a system of tokenization for Aadhaar verification will address the security loopholes highlighted in recent reports.

The article by Manasa Venkataraman and Ajay Patri was published in Livemint on January 9, 2018.

Those who were reassured that the Aadhaar architecture is safe and secure have faced a few rude shocks lately. First, there was the recent report in The Tribune on how one of its reporters was easily able to log in to the Aadhaar website and access any enrolled Indian’s personal information, all for a grand fee of Rs500. While the veracity of this report is still being contested by the Unique Identification Authority of India (UIDAI), it has stirred panic over the security of personal data entrusted to the government. This came close on the heels of reports last month that a telecom company was utilizing the eKYC (know your customer) data of its mobile subscribers to open payment bank accounts without their consent.

These two instances highlight scenarios where data from the Aadhaar database is vulnerable. In the first, the weaknesses in security measures and processes around the database leave information susceptible to an attack. In the second, providing third-party entities loosely regulated access to an individual’s data leaves scope for abuse.

There is a need to protect the data belonging to individuals in these situations, providing the government with two possible policy options: it can choose to either overhaul the Aadhaar architecture completely, or it can build in additional security measures to ensure that individual data is not compromised.

Uninventing Aadhaar is not a practical proposal. It would have to include repealing the statute on Aadhaar, disbanding the database already created, and figuring out alternative means of delivering the services that are now dependent on Aadhaar. A more sustainable way forward is to better secure Aadhaar. This will involve not only the secure collection and storage of personal data, but also a safe regulation of the manner in which third parties use it for authentication.

One way to protect Aadhaar-related communications is to channel them through a secure conduit. This can be achieved through a system of temporary tokens for Aadhaar-based verifications. Sunil Abraham from the Centre for Internet and Society (CIS) has recommended a system of using dummy or virtual Aadhaar numbers along with a smart card to protect information belonging to individuals.

Tokenization is the process of masking sensitive personal data with another innocuous dataset, allowing it to be shared with third parties without the risk of the personal data being exposed. So, every time a service provider asks for identification, the individual can provide a one-time-ID number generated by an Aadhaar app or on UIDAI’s website. The service provider can authenticate the one-time-ID number with the Aadhaar database, without needing to know or store the Aadhaar number. The algorithm used to generate the one-time-ID number must be constructed using hard-to-replicate information and kept a well-guarded secret. No two service providers will have the same one-time ID, making it harder for personal profiles to be constructed by mining data from multiple service providers, thus enabling a higher level of privacy protection.

Allowing such a system of tokenization for every eKYC can create a welcome layer of ambiguity around individuals’ personal data and preserve the individuals’ Aadhaar-related information with the government. This system also breaks the link between the Aadhaar database and any third party having access to an individual’s Aadhaar number. If this link is not broken, then any entity—government or private—would have access to potentially millions of Aadhaar card numbers, opening endless possibilities for data abuse.

The tokenization process allows the authority to arrest any attempts at data abuse. In fact, to make this system of tokens or one-time-ID numbers effective, the law must build in measures to penalize any attempt to recreate an individual’s Aadhaar number from the unique token number. In other words, the service provider is given a token number for authentication, but prohibited from obtaining the Aadhaar number it corresponds to.

Tokenization is an improvement over the status quo, but only in one aspect—making Aadhaar secure. It is imperative that the government pays equal attention to the manner in which all data is collected, stored and disposed of by the authority. There are two facets to be explored here: first, ensuring secure storage of the vast information database, and second, plugging security loopholes that happen at collection by limiting access to the database.

The adoption of appropriate technical safeguards is indispensable to thwart external threats to the Aadhaar database, such as ransomware attacks. Having appropriate security, and having periodic audits to test the adequacy of such security, is indispensable.

Equally, limiting access to the database is crucial for preventing leaks, such as the ones reported in The Tribune. It is important that only a select few individuals have access to the database and that these personnel are properly vetted before being vested with such responsibility.

These various facets of the Aadhaar ecosystem are likely to be further examined in the public in the weeks to come as the Supreme Court gears up to hear the petitions on Aadhaar. Regardless of the verdict, there is an urgent need to improve the safety of the Aadhaar ecosystem and the use of tokenization goes some way towards achieving this objective.

Manasa Venkataraman and Ajay Patri are researchers at the Takshashila Institution, an independent, non-partisan think tank and school of public policy.

For more details visit https://cis-india.org/internet-governance/news/livemint-january-9-2018-manasa-venkataraman-ajay-patri-token-security-or-tokenized-security

Token disclosures?

praskrishna — 2013-08-07T09:30:39Z

Snowden’s Xkeyscore expose makes a mockery of Twitter’s transparency revelations.

The article by Deepa Kurup was published in the Hindu on August 4, 2013. Sunil Abraham is quoted.

This week, roughly around the same time, two ‘revelations’ made headlines in the world of technology. The first, the U.S. National Security Agency’s top secret web surveillance programme, codenamed Xkeyscore, another expose from the house of Edward Snowden & Co.; and second, microblogging site Twitter’s third biannual Transparency Report for the first half of 2013.

The former exposed a global surveillance net, cast far and wide to freely (no formal authorisation required) access and mine emails, chats and browsing histories of millions. The content of the latter report not only pales in comparison but also raises fundamental questions on just how much goes on beyond the arguably modest claims made on Twitter’s transparency charts.

Documents published by The Guardian have the NSA claiming that the “widest-reaching” system mining intelligence from the web had, over a month in 2012, retrieved and stored no less than 41 billion records on its Xkeyscore servers. These mind-boggling numbers make a mockery of Twitter’s few hundred access request disclosures, advocates of online privacy and freedom point out. Then, it is hardly surprising that a large chunk of global requests came from the U.S. government: no less than 902 of the total 1,157 requests, accounting for 78 per cent. A far second is Japan at 8 per cent followed by the U.K.

India References

Interestingly, both Twitter’s report and the NSA’s Xkeyscore document have India references. While a map titled 'Where is Xkeyscore' in the training manual released showing India as one of 150 sites (hosting a total of 700 servers) indicates that India's very much on the global surveillance radar of the United States government; the fact that the India is a new entrant on Twitter's ‘Country Withheld Content Tool’ means that the government here is also making active interventions in microblogging content. This is very much in line with stances the Indian government has taken over the last year, swinging indecisively between asking internet firms to pre-screen content and asking service providers to take down what it finds offensive.

India, A Bit-Player

The Twitter report states that over the last six months it has seen an increase in the number of requests received (and eventual withholding of content) in five new countries: India, Brazil, Japan, Netherlands and Russia. In terms of numbers, India is still very much a bit player in the game given it falls under the ‘less than 10 category, a list where the number of requests for user information made by the government during this period is fewer than 10. It appears from the report that Twitter did not honour any of these requests, indicating that either the requests were too broad or failed to identify individual accounts.

In the same period, Twitter received two requests from India to remove content, one from the “government/law enforcement agency” and the other through a court order. In all, three tweets were removed by Twitter. No details on the nature of content removed were available.

Transparency Trends

A late entrant to transparency initiatives, Twitter's bi-annual reports have been applauded by privacy activists as an initiative that at least attempted to offer a glimpse into the otherwise opaque medium/industry. According to 'Who Has Your Back' an initiative by the Electronic Frontier Foundation, which tracks which corporate helps protect your data from the government, only a third of the 18 internet majors publish Transparency Reports – in fact, Facebook, WordPress and Tumblr all don't publish.

This article by Deepa Kurup was published in the Hindu on August 4, 2013. Sunil Abraham is quoted.

While it's definitely good that Twitter's providing data for India, post-Edward Snowden and his revealing PRISM leaks, netizens would question to what extent this data is representative of the magnitude or extent of user data tracking. Do governments like the U.S. need to approach Twitter (or other internet service providers) at all to access detailed user activity logs, content and metadata?

Secret Orders Excluded

Twitter makes it clear that its current report does not include "secret orders" or FISA disclosures. In another blog related to the Transparency Report, Jeremy Kessel, Manager, Legal Policy at Twitter Inc, writes that since 2012, Twitter's seen an uptick in requests to withhold content from two to seven countries. He writes that while Twitter wants to publish “numbers of national security requests – including FISA (Foreign Intelligence Surveillance Act) disclosures – separately from non-secret requests.” It claims it has “insisted” that the United States government allow for increased transparency into “secret orders”. “We believe it’s important to be able to publish numbers of national security requests – including FISA disclosures – separately from non-secret requests." Unfortunately, we are still not able to include such metrics, Twitter states.

'Not the Whole Truth'

In the absence of these metrics, Sunil Abraham, director of Centre for Internet and Society, feels transparency reports “may not tell us the whole truth”. The Xkeyscore revelations then may explain why the U.S. government has made only 902 information requests. “A rogramme like XKeyScore potentially allows them to capture the very same data without having to approach Twitter. This is the very same imperative behind the CMS project in India. Governments across the world want to automate private sector involvement in blanket surveillance measures so that it wont serve as a check on their unbridled appetite for data”

He warns that there's a likely “race to the bottom”, given that an unintended consequence of transparency may be that governments, rather than being shamed into respect for free speech and privacy, would be emboldened by the scale of surveillance and censorship in the so-called democracies such as the US and EU members that are on top of the global blanket surveillance game.

For more details visit https://cis-india.org/news/the-hindu-august-4-2013-deepa-kurup-token-disclosures

To protect data, don’t opt for plastic or laminated Aadhaar card: UIDAI

Admin — 2018-02-07T01:00:00Z

Unauthorized printing of Aadhaar cards could render the QR (quick response) code dysfunctional or even expose personal data without an individual’s informed consent, UIDAI says.

The article by Komal Gupta was published by Livemint on February 7, 2017

To protect information provided by holders of Aadhaar, the Unique Identification Authority of India (UIDAI) on Tuesday cautioned people against opting for plastic or laminated “smart” cards.

Unauthorized printing of the cards could render the QR (quick response) code dysfunctional or even expose personal data without an individual’s informed consent, it said in a statement on Tuesday.

Besides, opting for plastic or laminated cards opened up the possibility of Aadhaar details (personal sensitive demographic information) being shared with devious elements without the informed consent of holders, the statement added.

According to UIDAI, the Aadhaar letter sent by it, a cutaway portion or downloaded versions of Aadhaar on ordinary paper or mAadhaar are perfectly valid.

“If a person has a paper Aadhaar card, there is absolutely no need to get his/her Aadhaar card laminated or obtain a plastic Aadhaar card or so called smart Aadhaar card by paying money. There is no concept such as smart or plastic Aadhaar card,” UIDAI chief executive officer Ajay Bhushan Pandey said in a statement.

Printing Aadhaar on a plastic/PVC sheet privately can cost anywhere between Rs50 and Rs300 or more, UIDAI said. It added that a printout of the downloaded Aadhaar card, even in black and white, is as valid as the original Aadhaar letter sent by UIDAI.

It added that in case a person loses his Aadhaar card, he can download the card free from https://eaadhaar.uidai.gov.in.

Pandey asked holders not to share Aadhaar number or personal details with unauthorized agencies for getting the card laminated, or printed on plastic.

The agency also directed unauthorized agencies not to collect Aadhaar information from people, reminding them that collecting such information or unauthorized printing of Aadhaar card is a criminal offence punishable with imprisonment.

“I feel a lot more has to be done by UIDAI. Sadly, by encouraging people to rely on printed Aadhaar ‘cards’, UIDAI is ending up with the worst of both worlds with respect to personal data protection: photocopies of so-called Aadhaar cards/letter are being circulated to facilitate identity fraud as well as the kind of dangerous personal data disclosures that centralized databases enable,” said Pranesh Prakash, policy director at think tank Centre for Internet and Society.

Last month, UIDAI put in place a two-layer security to reinforce privacy protections for Aadhaar holders—it introduced a virtual identification so that the actual number need not be shared to authenticate their identity. Simultaneously, it further regulated the storage of the Aadhaar numbers within various databases.

For more details visit https://cis-india.org/internet-governance/news/livemint-komal-gupta-february-7-2017-to-protect-data-dont-opt-for-plastic-or-laminated-Aadhaar

Tired of tele-marketing calls? Act on privacy right: Experts

praskrishna — 2011-08-09T09:00:58Z

Annoyed with unsolicited calls from insurance and banking companies? Under the proposed Right to Privacy Act, such calls would be considered a violation and the company responsible penalised up to Rs 5 lakh. The draft Right to Privacy Bill says that no person with a business in the country can collect or disclose any data relating to any individual without his/her consent.

Doing so will be a punishable offence. Speakers at a seminar here on Saturday organised by the Citizen consumer and civic Action Group (CAG), were unanimous in their call for the Right to Privacy Act coming into force soon. R Revathi, an associate professor at Dr Ambedkar Law University, said the matter of privacy was very tricky. "Recently, a man who came to donate blood for a friend tested positive for HIV. The hospital got to know he was going to be engaged soon and told his fiance? after which the marriage was called off," she said. "The man was not a patient at the hospital but his personal information was made public in the interest of a larger good. These are some of the challenges expected while implementing the bill," she added.

Others said there was no specific law in the Constitution to safeguard the individual's privacy. Privacy, they said, could be classified into physical and informational privacy. While the former was about the intrusion of physical space, the latter included digital and non-digital data that is personal in nature.

The article was published by the Times of India on August 7, 2011. The original can be read here

For more details visit https://cis-india.org/news/tired-of-tele-marketing-calls

Through the looking glass: Analysing transparency reports

Torsha Sarkar, Suhan S and Gurshabad Grover — 2019-11-02T05:48:59Z

An analysis of companies' transparency reports for government requests for user data and content removal

Over the past decade, a few private online intermediaries, by rapid innovation and integration, have turned into regulators of a substantial amount of online speech. Such concentrated power calls for a high level of responsibility on them to ensure that the rights of the users online, including their rights to free speech and privacy, are maintained. Such responsibility may include appealing or refusing to entertain government requests that are technically or legally flawed, or resisting gag orders on requests. For the purposes of measuring a company’s practices regarding refusing flawed requests and standing up for user rights, transparency reporting becomes useful and relevant.Making information regarding the same public also ensures that researchers can build upon such data and recommend ways to improve accountability and enables the user to understand information about when and how governments are restricting their rights.

For some time in the last decade, Google and Twitter were the only major online platforms that published half-yearly transparency reports documenting the number of content take down and user information requests they received from law enforcement agencies. In 2013 however, that changed, when the Snowden leaks revealed, amongst other things, that these companies were often excessively compliant with requests from US’ intelligence operations, and allowed them backdoor surveillance access to user information. Subsequently, all the major Silicon Valley internet companies have been attempting to publish a variance or other of transparency reports, in hopes of re-building their damaged goodwill, and displaying a measure of accountability to its users.

The number of government requests for user data and content removal has also seen a steady rise. In 2014, for instance Google noted that in the US alone, they observed a 19% rise for the second half of the year, and an overall 250% jump in numbers since Google began providing this information. As per a study done by Comparitech, India sent the maximum number of government requests for content removal and user data in the period of 2009 - 2018.8 This highlights the increasing importance of accessible transparency reporting.

Initiatives analysing the transparency reporting practices of online platforms, like The Electronic Frontier Foundation (EFF)’s Who Has Your Back? reports, for instance, have developed a considerable body of work tracing these reporting practices, but have largely focused at them in the context of the United States (US). In our research, we found that the existing methodology and metrics to assess the transparency reports of online platforms developed by organisations like the EFF are not adequate in the Indian context. We identify two reasons for developing a new methodology:

Online platforms make available vastly different information for US and India. For instance, Facebook breaks up the legal requests it receives for US into eight different classes (search warrants, subpoenas, etc.). Such a classification is not present for India. These differences are summarised in Annexure
The legal regimes and procedural safeguards under which states can compel platforms to share information or take content down also differ. For instance, in India, an order for content takedown can be issued either under section 79 and its allied rules or under section 69A and its rules, each having their own procedures and relevant authorities. A summary of such provisions for Indian agencies is given in Annexure 3.

These differences may merit differences in the methodology for research into understanding the reporting practices of these platforms, depending on each jurisdiction’s legal context.

In this report, we would be analyzing the transparency reports of online platforms with a large Indian user-base, specifically focusing on data they publish about user information and takedown requests received from Indian governments’ and courts.

First, we detail our methodology for this report, including how we selected platforms whose transparency reports we analyse, and then specific metrics relating to information available in those reports. For the latter, we collate relevant metrics from existing frameworks, and propose a standard that can be applicable for our research.

In the second part, we present company-specific reports. We identify general trends in the data published by the company, and then compare the available data to the best practices of transparency reporting that we proposed.

Download the full report. The report was edited by Elonnai Hickok. Research assistance by Keying Geng and Anjanaa Aravindan.

For more details visit https://cis-india.org/internet-governance/blog/torsha-sarkar-suhan-s-and-gurshabad-grover-october-30-2019-through-the-looking-glass

Three Years Later, IPaidABribe.com Pays Off

praskrishna — 2013-09-25T06:05:05Z

After reporting a bribe on IPaidABribe.com, one Bangalore student has had the satisfaction of seeing action taken against a corrupt public official.

This article by Jessica McKenzie was published in TechPresident on September 23, 2013. Sunil Abraham is quoted.

The student, Shubham Kahndelwal, was asked to give a bribe before getting a receipt for registering for an identity card called the AADHAAR card. He at first refused, but then gave in. In response, the official gave him a receipt for his father's registration (which he had submitted along with his own) but not his. He told I Paid A Bribe that he “never knew a simple complaint could make such a difference.”

Kahndelwal elaborated:

I was in Chennai when the incident happened and after that I was furious and was searching all over to look for a complaint mechanism, when I stumbled upon IPaidaBribe.com. It is a great day and event for me and for me to share with my friends.

IPaidABribe.com was launched in August 2010 by the Bangalore-based nonprofit Janaagraha, which focuses on civic engagement and improving governance.

When first launched, there were concerns over privacy issues and protecting the users who submit complaints. On the other hand, in an interview this May with techPresident's David Eaves, Sunil Abraham, the founder of the Center for Internet & Society, pointed out that in order to make a difference, I Paid A Bribe would somehow have to close the loop.

Abraham went on:

some of the things that go on with anonymous reporting cannot happen, and to close the loop it almost needs to become a paralegal infrastructure. It has to talk to law enforcement and people have to be arrested, prosecuted and put away.

That is apparently what happened in this case. The official in question has been blacklisted and had disciplinary action taken against him.

To put the success in perspective, however, the bribe requested was Rs 2000 (US$31.95) and the bribe ultimately given was only Rs 350 (US$5.59).

Abraham also pointed out to Eaves that the real problem in India is “high ticket bribes...at the top of the pyramid.”

So while complaints from people like Kahndelwal are what keep the feeds at IPaidABribe.com constantly refreshing, they're mere drops in the bucket when compared to the millions of dollars moving in scandals like the 2G spectrum scam.

Personal Democracy Media is grateful to the Omidyar Network and the UN Foundation for their generous support of techPresident's WeGov section.

For more details visit https://cis-india.org/news/tech-president-september-23-2013-jessica-mckenzie

They know where you are

Admin — 2019-01-18T02:14:46Z

With hotel-booking app routinely sharing real-time guest data with police and government, lives of those fleeing persecution is in danger, privacy advocates fear.

The article by Tini Sara Anien was published in Deccan Herald on January 17, 2019. Aayush Rathi was quoted.

Oyo Rooms, the online hotel room booking service, has been receiving brickbats since it disclosed this week that it was sharing real-time data of guests with the police and the government.

Internet and legal experts in Bengaluru say it is a breach of informational privacy, granted as a fundamental right by the Constitution. Couples running away from hostile families and individuals escaping religious and political persecution are at huge risk if their whereabouts are shared, they say.

Aayush Rathi, policy officer with Centre for Internet and Society, finds the sharing of live guest data disturbing.

“Hotels have always maintained records. Earlier, when information from hotels was needed, a specific query had to be raised by law enforcement, pursuant to an ongoing case. The registry represents a significant departure by facilitating the collection of this data by law enforcement without cause,” he says.

He also rues the lack of transparency about what the government will do with such data.

“The government is already collecting a lot of data and has little direction on what to do with it. There is no clarity on how this information will be used and protected. The government might say it is necessary for security, a very broad umbrella term, but in the absence of regulations, the data can be used for purposes little to do with security,” says Rathi.

The service had initially marketed itself as a couple-friendly service, while across the country, unmarried, inter-faith couples face various challenges finding a room. “This targeting could get even more enhanced,” he fears.

Recently, passport details were leaked from a popular hotel chain. The leaked data from hotel bookings can be used for multifarious purposes, ranging from selling to potential advertisers to identity theft,” Rathi says.

Lawyer-researcher Nayantara Ranganathan, from the Internet Democracy Project, says the argument that sharing data improves privacy is “absolutely disingenuous.”

“Sharing all guest records in real-time to state governments and law enforcement is shocking and most definitely a breach of privacy,” she says.

With the state getting access to such information with the promise of preventive policing, there is no telling how data is going to be used, she says.

She finds it bizarre that a private company is proactively sharing data, especially at a time when companies are “waking up to the fact that their consumers value their privacy.”

Why it endangers lives

Vinay Sreenivasa, lawyer and member of Alternative Law Forum, says providing access to such information is ‘criminal.’ “A couple could be running away from moral policing after an inter-caste marriage and people might be tracking them, or someone might be going through a divorce and just need some privacy. There could be several reasons why one seeks a room and such data could put lives at risk,” he says.

The Supreme Court has clearly stated one’s data is one’s own and consent has to be taken when any personal information is used. The government has no business accessing such information, he says.

For more details visit https://cis-india.org/internet-governance/news/tini-sara-anien-deccan-herald-january-17-2019-they-know-where-you-are

There's a Spy Behind Your Gadget Screen Tracking Data

praskrishna — 2015-05-31T15:50:13Z

More people are becoming aware of the risks that come with online habits.

The article by Evelyn Fok & Krithika Krishnamurthy published in the Times of India on April 25, 2015 quotes CIS research on Privacy.

Thejesh GN, a Bangalore-based technologist, does not have a Facebook app on his phone, often browses on incognito mode and has installed a tool that detects and blocks spy ads and trackers. All this is to escape from the pervasive ads that have now begun to invade his online presence.

But Thejesh knows it's of little use. Given the proliferation of ecommerce companies in India, the barrage of ads are unlikely to stop.

“It's an everyday fight.There is no way to get rid of all these ads,“ said Thejesh, cofounder of data science community Datameet.

Thejesh represents a growing population of Internet users who are becoming aware of the risks that come with their online habits specifically, having each data point of their everyday lives collected by companies and tech startups. This includes an individual's IP address, browser type, pages viewed, and the date and time of use.On mobile, the data collected could be more elaborate and accurate including a user's location, device type and contact list.

Where does all this data go?
Some are sold to brands via ad networks, and others are used by companies to streamline the ads shown to specific users. In India there are no rules explicitly regulating online behavioural advertising, and thus it is not clear what practices different companies and internet service providers undertake. It is not clear what information is collected, how the information is used, how long the information is stored for, and what access law enforcement has to this information, the Center for Internet and Society said in a report titled `Consumer Privacy'.

Siddharth Shankar, a student of statistics from Patna University, who is also learning ethical hacking, is of the view that few people care about privacy in India. “Their simple reply: What will they do with our data?“ said Shankar, who takes steps similar to Thejesh to protect his privacy online.

More people seem to be waking up to the fact that privacy is important and that ads are intrusive. Of the 50 million users who block ads using AdBlock Plus, about 1.2 million are from India. AdBlock Plus, a mobile and browser tool, recently won a case against two publishers in Germany who wanted it to stop blocking ads on their websites. Most digital products, including apps and content, are free. To sustain themselves, the digital product makers sell the data they collect at the time of app installs or website visits to brands or ad networks.In other words, the end-users are not their customers advertisers are.

“It boils down to, `If you are not paying for the product, you are the product,'“ said Vinod Chandrashekhar, chapter leader of DataKind Bangalore, a movement to use big data for the benefit of public causes. “I won't be surprised in the future if a few firms might charge to erase your data.“

And that, he says, is one of the popular ways for restaurant and company review apps to make money: prompting owners to buy a premier account or be charged for ad vertising in order to delete unfavourable reviews.

Privacy breaches also give way to corporate espionage.

“The South Asian market is, in many ways, similar to what we're seeing in South America. They are looking for not only security for their businesses and for their own personal affairs, but they are also looking for something that is affordable,“ said Jon Callas, cofounder and chief technology officer at Silent Circle.

The Swiss-based firm provides an end-toend secure access channel from a smartphone to a telecommunication network allowing users to go about their daily lives without leaking their online footprint.

For more details visit https://cis-india.org/internet-governance/news/the-times-of-india-evelyn-fok-krithika-krishnamurthy-there-is-a-spy-behind-your-gadget-screen-tracking-data

The Fundamental Right to Privacy: Part III SCOPE

amber — 2017-10-02T04:14:00Z

This is the third paper in a series on the recent judgment on the right to privacy by the nine judge constitution bench of the Supreme Court in a reference matter in Puttaswamy and others v. Union of India. The first two papers on the Sources and Structure of the constitutional right to privacy are available here, and here, respectively. While the previous papers dealt with the sources in the Constitution and the interpretive tools used by the bench to locate the right to privacy as a constitutional right, as well as the structure of the right with its various dimensions, this paper will look at the judgment for guidance on principles to determine what the scope of the right of privacy may be.

For more details visit https://cis-india.org/internet-governance/the200b-200bfundamental200b-200bright200b-200bto200b-200bprivacy-200b-200bpart200b-200biii-scope

The Walls Have Ears

praskrishna — 2011-07-06T06:26:25Z

The proposed Privacy Bill seems skewed towards the state rather than the citizen, writes Saikat Datta. This news was published in the Outlook magazine, issue, July 11, 2011.

Sometimes the best of intentions can camouflage the worst of motives. On the face of it, the government’s bid to bring in a privacy bill is a welcome move, a long-overdue measure. But after an initial approach paper prepared by lawyers and bureaucrats in November last year, the government went into a secretive huddle. Now a leaked April 19, 2011, version of the bill raises several disturbing questions.

"The idea behind it was to protect privacy but not short-circuit the current systems to combat terror."

K.M. Chandrashekhar, Ex-cabinet secretary

While recognising the need for privacy, the government has also slipped in several clauses that could severely restrict the freedom of the press if enacted in its current form. Worse, it could actually make journalists liable for prosecution as well as imprisonment up to five years. And if that was not bad enough, it does little or nothing to prevent the government from invading a citizen’s privacy. In fact, it will legitimise all forms of intrusion by the state and collection of a wide variety of data from individuals.

TV news channels could be the most affected by this. Sting operations could become a very risky thing in the future, with section four of the proposed bill saying that any form of filming/recording can be deemed as surveillance and anyone doing so without proper authorisation would be liable for prosecution. So if someone was to secretly catch on camera MPs accepting cash for posing questions in Parliament, or record a bureaucrat demanding bribes, chances are he/she will be doing time in jail.

While the proposed draft draws a distinction between data and personal information, it still leaves little room for journalists. For instance, if a reporter were to use "personal information" of an individual for an article without his/her written consent, it will amount to a civil offence and immediately attract a penalty of up to Rs. 1 lakh. If the journalists were to repeat the "offence" by publishing another story using the same material, the penalty goes up to Rs. 5 lakh. So, is the UPA government, under the scanner for a plethora of scams, trying to muzzle the media? It certainly seems so.

"The bill, in its current form, brings an element of pre-censorship that violates our right to speech. It’s disturbing."

Now when it comes to the government’s right to invade a citizen’s privacy, the proposed legislation offers little immunity. It will uphold all existing laws of phone-tapping, interception of communications, collection of statistics and personal data with impunity. "The proposed bill doesn’t change any system or structure of surveillance that are in place today," says Usha Ramanathan, a law researcher who has worked extensively on privacy issues. "Look at the Collection of Statistics Act passed by Parliament last year. You can be penalised for not sharing the information that the government seeks from you. This is very disturbing."

Usha Ramanathan, Law Researcher

Ramanathan’s discomfiture has its reasons. "In the past three years, the government has become far more intrusive than it ever was. All this is asserting the sovereignty of the state over the citizen when the Constitution says that the citizen is supreme. This bill, in its current form, also brings in an element of pre-censorship that violates our fundamental right to speech as well as several judgements of the Supreme Court that ruled against pre-censorship."

On the other hand, former cabinet secretary K.M. Chandrashekhar, a prime mover behind the bill during his tenure, feels that the security needs of the state warrant "lawful" intrusion by it. “The idea was to protect privacy but not short-circuit the current surveillance systems in place for combating terrorism."

"While we accept the primacy of public interest, we must be very, very careful about what is public interest."
Satyananda Mishra, CIC

As far as protecting privacy is concerned, of course all is not bad with the proposed bill. Prashant Iyengar, a researcher with the Centre for Internet and Society (CIS), a Bangalore-based NGO that has played a leading role in shaping the public discourse on this issue, is hopeful. "For the first time, this bill creates a strong liability for the government. This means that the government can be held liable and penalised for the violation of privacy. It also establishes a routine civil liability against the government for all its lapses in protecting the privacy of citizens... which is very good.” But Prashant also feels that the bill has a long way to go before it resolves some inherent contradictions. “The proposed Act must recognise the concept of public interest while it protects privacy. That is an element missing from the current discourse."

Satyananda Mishra, the chief information commissioner and a former secretary, DoPT, has a nuanced view of the proposed bill. He feels public interest must outweigh privacy in every case. "But while we accept the primacy of public interest, we must be very, very careful about what is public interest," he says.

Mishra, in many ways the country’s biggest trustee of transparency in public life today, suggests a few key modifications in the conditions in the proposed legislature. "We need to understand that after the enactment of the RTI Act, it has become incumbent upon us to have some form of inherent disclosure in all our public dealings. This will also safeguard our privacy from the government."

The relationship between citizen and government, says Mishra, is guided by a social contract. "People elect governments and trust them with their lives and liberty in the promise that the government will exercise its powers for their welfare. But there could be instances where the government breaks that promise. It could legitimately tap someone’s phone through legal means, but with malicious intent."

To prevent this, Mishra suggests a modification to the proposed Privacy Act. "Let there be disclosure of all such events, after a reasonable period of time, of any effort by the government to invade the privacy of citizens. For instance, if it needs to tap the phones of a person, then it must be disclosed after a period of time. After all, phones can be tapped legally only to protect the interests of the state. So it should either lead to a criminal prosecution or a disclosure after a reasonable amount of time has elapsed. That is the only way we will be able to curb the intrusive powers of the state and protect the privacy of citizens." Prashant of CIS agrees with Mishra’s suggestion. "In the United States, all wire-tapping laws have a clause for disclosure. This way, a citizen will know if his privacy has been violated lawfully or not."

Now if a reporter were to use "personal info" without consent, it will mean a civil offence, a penalty of Rs. 1 lakh.

While the government will take its time to introduce the bill in Parliament, it needs to be more transparent in its deliberations. Right now two ministries are working simultaneously on the same bill. While the ministry of law and justice under Veerappa Moily is busy shaping its draft, the ministry of personnel, training and public grievances under the prime minister is busy formulating its own version. While they work on it, what both ministries must recognise is that nothing is private about public policy.

Click here to see the story originally published by Outlook

For more details visit https://cis-india.org/news/walls-have-ears

The trouble with trolls

praskrishna — 2014-07-28T05:42:36Z

Social networking sites give trolls the ability to hide their real identity and cause grief to others. Here is what you need to do if you face an online attack.

The article by Vishal Mathur was published in Livemint on July 22, 2014. Sunil Abraham gave his inputs.

Social networking sites give trolls the ability to hide their real identity and cause grief to others. Here is what you need to do if you face an online attack.

Though social networks were not designed with the intention of letting someone anonymously abuse another online, the reality is that people utilize the ability to hide behind online identities to threaten other users. These could be veiled attacks, direct abuse, or even threats to “cause bodily harm”. What can you do if you’re trolled and threatened on any social network? Follow our five-step guide. Avoid conversation if you can The responses could come in relation to something you may have just posted online. Or perhaps it could be just a random trolling attempt, to get a response from you. It is important to understand and identify such intentions. And as difficult as it may be, do not respond. Getting into a direct interaction with a bully only makes things worse. Report to the social network You should report any instance of cyber bullying or harassment to the host social network—the website or forum on which the interaction happened. There are various methods of getting in touch with the moderators—customer support email, contact submission forms or even via phone, in certain locations. Describe the problem in detail, and persist till the offending account is blocked from the platform. “Most social networks have systems that allow you to report abusive content and users. However, there is great variance in the speed with which they respond across different platforms, jurisdictions, etc.,” says Sunil Abraham, executive director at the Bangalore-based non-profit research organization Centre for Internet and Society. New Delhi-based Anja Kovacs, project director, at civil society organization Internet Democracy Project, adds: “Blocking and reporting an account can be two ways to stop harassment on some social networks, but on other platforms, such as Twitter, it is possible for the person to immediately make a new account under a different username, meaning that these measures do not necessarily stop the harassment.” Ankhi Das, director, public policy, India and South Asia at social network Facebook, says: “Every reported piece of content is reviewed. Serial offenders are notified for non-compliance.” Facebook’s Community Standards, that prevent harassment and offensive posts, have an 11-point categorization for reported content—violence and threats, hate speech, graphic content, bullying and harassment, to name some. Raheel Khursheed, head of news, politics and government at Twitter India, did not respond to our mail about how Twitter handles trolls at the time of going to press. On blogs and forums, it may be a bit easier to deal with trolling and abuse. If it is your own blog, you can delete comments and block users. If it is a forum, the administrator can do it for you. But, with social networks having millions of users, it is not possible to have one administrator managing it all. And it is not just Facebook and Twitter, all social networks have a method by which you can register your complaint. LinkedIn, for example, automatically blocks a user who gets multiple “I don’t know” responses to invitations to connect. There is a strong monitoring policy where any reported content (recommendations or direct messages) is examined and immediate warnings are sent out to offending parties. Keep a copy of the offensive posts Be it a post, or a series of posts, direct message or even an offending photograph, always save it for future reference. Never assume that the matter will end soon, and always prepare for the worst. Don’t ignore privacy settings Most people start using Facebook, Twitter and other social networks without paying much attention to the privacy settings—what content people can see on your page, and who can directly contact you. Be conservative in sharing information—the less you share, the lower the chances of someone picking on you. “Avoid friending or linking to people whom you don’t know in real life unless you are certain of the chain of trust that exists between you and the unknown person,” says Abraham. New Delhi-based cyber lawyer Apar Gupta, adds: “The privacy settings on most social networking platforms allow users to prevent (restrict) the audience for their posts as well as strangers from contacting them. This will prevent most cases of online harassment.” Get help from the law In case social networks are not able to effectively block a user, or are in some way unwilling to do so, take help from the law-enforcement authorities. File an FIR in the nearest police station. Unfortunately, the progress may not be very smooth. The reality is that not every law-enforcement officer may know about social networking sites. “You could try and go to the police, but without support from the social network platform, they are often at a loss to do much themselves,” warns Kovacs. The police may look for hints of threat to cause bodily harm or worse still, to life. In such cases, they may recommend the case to the Cyber Crime Cell of the Central Bureau of Investigation. “Generally, while the substantive offences do exist under law, the process for having them enforced is deficient. These are deeper structural problems of delay, investigation and conviction which are prevalent across criminal justice or civil litigation,” clarifies Gupta. Officials at the Cyber Crime Cell say they take up cases after reference from the local police, who file the report first and do a preliminary level of investigation. But it is important to realize that only the police and the law-enforcement agencies have the right to demand further details about the perpetrator from the social networks, starting with profile details and Internet Protocol (IP) addresses, which will help track the person down. Das clarifies: “Facebook has a point-of-contact system through which the law-enforcement agencies tell us what the actual case is, depending on severity. The police may ask us to take down particular content, or even ask for user information like IP info, to prevent real crime.” According to Facebook’s Government Requests Report for July-December 2013, the network restricted access to 4,765 pieces of content after requests from the Indian government and law-enforcement agencies.

Though social networks were not designed with the intention of letting someone anonymously abuse another online, the reality is that people utilize the ability to hide behind online identities to threaten other users. These could be veiled attacks, direct abuse, or even threats to “cause bodily harm”. What can you do if you’re trolled and threatened on any social network? Follow our five-step guide.

Avoid conversation if you can
The responses could come in relation to something you may have just posted online. Or perhaps it could be just a random trolling attempt, to get a response from you. It is important to understand and identify such intentions. And as difficult as it may be, do not respond. Getting into a direct interaction with a bully only makes things worse.

Report to the social network
You should report any instance of cyber bullying or harassment to the host social network—the website or forum on which the interaction happened. There are various methods of getting in touch with the moderators—customer support email, contact submission forms or even via phone, in certain locations. Describe the problem in detail, and persist till the offending account is blocked from the platform. “Most social networks have systems that allow you to report abusive content and users. However, there is great variance in the speed with which they respond across different platforms, jurisdictions, etc.,” says Sunil Abraham, executive director at the Bangalore-based non-profit research organization Centre for Internet and Society. New Delhi-based Anja Kovacs, project director, at civil society organization Internet Democracy Project, adds: “Blocking and reporting an account can be two ways to stop harassment on some social networks, but on other platforms, such as Twitter, it is possible for the person to immediately make a new account under a different username, meaning that these measures do not necessarily stop the harassment.” Ankhi Das, director, public policy, India and South Asia at social network Facebook, says: “Every reported piece of content is reviewed. Serial offenders are notified for non-compliance.” Facebook’s Community Standards, that prevent harassment and offensive posts, have an 11-point categorization for reported content—violence and threats, hate speech, graphic content, bullying and harassment, to name some. Raheel Khursheed, head of news, politics and government at Twitter India, did not respond to our mail about how Twitter handles trolls at the time of going to press. On blogs and forums, it may be a bit easier to deal with trolling and abuse. If it is your own blog, you can delete comments and block users. If it is a forum, the administrator can do it for you. But, with social networks having millions of users, it is not possible to have one administrator managing it all. And it is not just Facebook and Twitter, all social networks have a method by which you can register your complaint. LinkedIn, for example, automatically blocks a user who gets multiple “I don’t know” responses to invitations to connect. There is a strong monitoring policy where any reported content (recommendations or direct messages) is examined and immediate warnings are sent out to offending parties.

Keep a copy of the offensive posts
Be it a post, or a series of posts, direct message or even an offending photograph, always save it for future reference. Never assume that the matter will end soon, and always prepare for the worst.

Don’t ignore privacy settings
Most people start using Facebook, Twitter and other social networks without paying much attention to the privacy settings—what content people can see on your page, and who can directly contact you. Be conservative in sharing information—the less you share, the lower the chances of someone picking on you. “Avoid friending or linking to people whom you don’t know in real life unless you are certain of the chain of trust that exists between you and the unknown person,” says Abraham. New Delhi-based cyber lawyer Apar Gupta, adds: “The privacy settings on most social networking platforms allow users to prevent (restrict) the audience for their posts as well as strangers from contacting them. This will prevent most cases of online harassment.”

Get help from the law
In case social networks are not able to effectively block a user, or are in some way unwilling to do so, take help from the law-enforcement authorities. File an FIR in the nearest police station. Unfortunately, the progress may not be very smooth. The reality is that not every law-enforcement officer may know about social networking sites. “You could try and go to the police, but without support from the social network platform, they are often at a loss to do much themselves,” warns Kovacs. The police may look for hints of threat to cause bodily harm or worse still, to life. In such cases, they may recommend the case to the Cyber Crime Cell of the Central Bureau of Investigation. “Generally, while the substantive offences do exist under law, the process for having them enforced is deficient. These are deeper structural problems of delay, investigation and conviction which are prevalent across criminal justice or civil litigation,” clarifies Gupta. Officials at the Cyber Crime Cell say they take up cases after reference from the local police, who file the report first and do a preliminary level of investigation. But it is important to realize that only the police and the law-enforcement agencies have the right to demand further details about the perpetrator from the social networks, starting with profile details and Internet Protocol (IP) addresses, which will help track the person down. Das clarifies: “Facebook has a point-of-contact system through which the law-enforcement agencies tell us what the actual case is, depending on severity. The police may ask us to take down particular content, or even ask for user information like IP info, to prevent real crime.” According to Facebook’s Government Requests Report for July-December 2013, the network restricted access to 4,765 pieces of content after requests from the Indian government and law-enforcement agencies.

For more details visit https://cis-india.org/news/livemint-july-22-2014-vishal-mathur-the-trouble-with-trolls

The Technology behind Big Data

Geethanjali Jujjavarapu and Udbhav Tiwari — 2016-12-04T09:53:43Z

The authors undertakes a high-level literature review of the most commonly used technological tools and processes in the big data life cycle. The big data life cycle is a conceptual construct that can be used to study the various stages that typically occur in collecting, storing and analysing big data, along with the principles that can govern these processes.

Download the Paper (PDF, 277 kb)

Introduction

Defining big data is a disputed area in the field of computer science^{^[1]}, there is some consensus on a basic structure to its definition^{^[2]}. Big data is data that is collected in the form of datasets that has three main criteria: size, variety & velocity, all of which operate at an immense scale^{^[3]}. It is ‘big’ in size, often running into petabytes of information, has vast variety within its components, and is created, captured and analysed at an incredibly rapid velocity. All of this also makes big data difficult to handle using traditional technological tools and techniques.

This paper will attempt to perform a high-level literature review of the most commonly used technological tools and processes in the big data life cycle. The big data life cycle is a conceptual construct that can be used to study the various stages that typically occur in collecting, storing and analysing big data, along with the principles that can govern these processes. The big data life cycle consists of four components, which will also be the key structural points of the paper, namely: Data Acquisition, Data Awareness, Data Analytics & Data Governance.⁴ The paper will focus on the aspects that the author believes are relevant for analysing the technological impact of big data on both technology itself and society at large.

Scope: The scope of the paper is to study the technology used in big data using the "Life Cycle of Big Data" as model structure to categorise & study the vast range of technologies that are involved in big data. However, the paper will be limited to the study of technology related directly to the big data life cycle. It shall specifically exclude the use/utilisation of big data from its scope since big data is most often being fed into other, unrelated technologies for consumption leading to rather limitless possibilities.

Goal: Goal of the paper is twofold: a.) to use the available literature on the technological aspects of big data, to perform a brief overview of the technology in the field and b.) to frame the relevant research questions for studying the technology of big data and its possible impact on society.

Data Acquisition

Acquiring big data has two main sub components to it, the first being sensing the existence of the data’ itself and the second, the stage of collecting and storing this data. Both of these subcomponents are incredibly diverse fields, with lots of rapid change occurring in the technology utilised to carry out these tasks. The section will provide a brief overview of the subcomponents and then discuss the technology used to fulfil the tasks.

Data Sensing

Data does not exist in a vacuum and is always created as a part of a larger process, especially in the aspect of modern technology. Therefore, the source of the data itself plays a vital role in determining how it can be captured and analysed in the larger scheme of things. Entities constantly emit information into the environment that can be utilised for the purposes of big data, leading to two main kinds of data: data that is “born digital” or “born analogue.”^{^[4]}

Born Digital Data

Information that is “born digital,” is created, by a user or by a digital system, specifically for use by a computer or data‐processing system. This is a vast range of information and newer fields are being added to this category on a daily basis. It includes, as a short, indicative list: email and text messaging, any form of digital input, including keyboards, mouse interactions and touch screens, GPS location data, data from daily home appliances (Internet of Things), etc. All of this data can be tracked and tagged to users as well as be aggregated to form a larger picture, massively increasing the scope of what may constitute the ‘data’ in big data.

Some indicative uses of how such born digital data is catalogued by technological solutions on the user side, prior to being sent for collection/storage are:

a.) Cookies - There are small, often just text, files that are left on user devices by websites in order to that visit, task or action (for example, logging into an email account) with a subsequent event.^{^[5]} (for example, revisiting the website)

b.) Website Analytics^{^[6]} - Various services, such as Google Analytics, Piwik, etc., can use JavaScript and other web development languages to record a very detailed, intimate track of a user's actions on a website, including how long a user hovers above a link, the time spent on the website/application and in some cases, even the time spent specific aspects of the page.

c.) GPS^{^[7]} - With the almost pervasive usage of smartphones with basic location capabilities, GPS sensors on these devices are used to provide regular, minute driven updates to applications, operating systems and even third parties about the user's location. Modern variations such as A-GPS can be used to provide basic positioning information even without satellite coverage, vastly expanding the indoor capabilities of location collection.

All of these instances of sensing born digital data are common terms, used in daily parlance by billions of people from all over the world, which is a symbolic of just how deeply they have pervaded into our daily lifestyle. Apart from privacy & security concerns this in turn also leads to an exponential increase in the data available to collect for any interested party.

Sensor Data

Information is said to be “analogue” when it contains characteristics of the physical world, such as images, video, heartbeats, etc. Such information becomes electronic when processed by a “sensor,” a device that can record physical phenomena and convert it into digital information. Some examples to better illustrate information that is born analogue but collected via digital means are:

a.) Voice and/or video content on devices - Apart from phone calls and other forms communication, video and voice based interactions have started to regularly be captured to provide enhanced services. These include Google Now^{^[8]}, Cortana^{^[9]} and other digital assistants as well as voice guided navigation systems in cars, etc.

b.) Personal health data such as heartbeats, blood pressure, respiration, velocity, etc. - This personal, potentially very powerful information is collected by dedicated sensors on devices such as Fitbit^{^[10]}, Mi Band^{^[11]}, etc. as well as by increasingly sophisticated smartphone applications such as Google Fit that can do so without any special device.

c.) Camera on Home Appliances - Cameras and sensors on devices such as video game consoles (Kinect^{^[12]} being a relevant example) can record detailed human interactions, which can be mined for vast amounts of information apart from carrying out the basic interactions with the devices itself.

While not as vast a category as born digital data, the increasingly lower costs of technology and ubiquitous usage of digital, networked devices is leading to information that was traditionally analogue in nature to be captured for use at a rapidly increasing rate.

Data Collection & Storage

Traditional data was normally processed using the Extract, Transform, Load (ETL) methodology, which was used to collect the data from outside sources, modify the data to fit needs, and then upload the data into the data storage system for future use.^{^[13]} Technology such as spreadsheets, RDBMS databases, Structured Query Languages (SQL), etc. were all initially used to carry out these tasks, more often than not manually. ^{^[14]}

However, for big data, the methodology traditionally followed is both inefficient and insufficient to meet the demands of modern use. Therefore, the Magnetic, Agile, Deep (MAD) process is used to collect and store data^{^[15]}^{^[16]}. The needs and benefits of such a system are: attracting all the data sources regardless of their quality (magnetic), logical and physical contents of storage systems adapting to the rapid data evolution in big data (agile) and complex algorithmic statistical analysis required of big data on a very short notice^{^[17]}. (deep)

The technology used to perform data storage using the MAD process requires vast amount of processing power, which is very difficult to create in a single, physical space/unit for nonstate or research entities, who cannot afford supercomputers. Therefore, most solutions used in big data rely on two major components to store data: distributed systems and Massive Parallel Processing^{^[18]} (MPP) that run on non-relational (in-memory) database systems. Database performance and reliability is traditionally gauged using pure performance metrics (FLOPS per second, etc.) as well as the Atomicity, consistency, isolation, durability (ACID) criteria.^{^[19]} The most commonly used database systems for big data applications are given below. The specific operational qualities and performance of each of these databases is beyond the scope of this review but the common criteria that makes them well suited for big data storage have been delineated below.

Non-relational databases

Databases traditionally used to be structured entities that operated solely on the ability to correlate information stored in them using explicitly defined relationships. Even prior to the advent of big data, this outlook was turning out to be a limiting factor in how large amounts of stored information could be leveraged, this led to the evolution of non relational database systems. Before going into them in detail, a basic primer on their data transfer protocols will be helpful in understanding their operation.

A protocol is a model that structures instructions in a particular manner so that it can be reproduced from one system to another^{^[20]}^{^[21]}. The protocols which govern technology in the case of big data have gone through many stages of evolution, starting off with simple HTML based systems^{^[22]}, which then evolved to XML driven SOAP systems^{^[23]}, which led to JavaScript Object Notation, or JSON^{^[24]}, the currently used form for in most big database systems. JSON is an open format used to transfer data objects, using human-readable text and is the basis for most of the commonly used non-relational database management systems. Examples of Non-relational databases also known as NoSQL databases, include MongoDB^{^[25]}, Couchbase^{^[26]}, etc. They were developed for both managing as well as storing unstructured data. They aim for scaling, flexibility, and simplified development. Such databases rather focus on the high-performance scalable data storage, and allow tasks to be written in the application layer instead of databases specific languages, allowing for greater interoperability.^{^[27]}

In-Memory Databases

In order to overcome performance limitation of traditional database systems, some modern databases now use in-memory databases. These systems manage the data in the RAM memory of the server, thus eliminating storage disk input/output. This allows for almost realtime responses from the database, in comparisons to minutes or hours required on traditional database systems. This improvement in the performance is so massive that, entirely new applications are being developed for using IMDB systems.^{^[28]} These IMDB systems are also being used for advanced analytics on big data, especially to increase the access speed to data and increase the scoring rate of analytic models for analysis.^{^[29]} Examples of IMDB include VoltDB^{^[30]}, NuoDB^{^[31]}, SolidDB^{^[32]} and Apache Spark^{^[33]}.

Hybrid Systems

These are the two major systems used to store data prior to it being processed or analysed in a big data application. However, the divide between data storage and data management is a slim one and most database systems also contain various unique attributes that cater them to specific kinds of analysis. (as can be seen from the IMDB example above) One example of a very commonly used Hybrid system that deals with storage as well as awareness of the data is Apache Hadoop³³, which is detailed below.

Apache Hadoop

Hadoop consists of two main components: the HDFS for the big data storage, and MapReduce for big data analytics, each of which will be detailed in their respective section.

The HDFS^{^[34]}^{^[35]} storage function in Hadoop provides a reliable distributed file system, stored across multiple systems for processing & redundancy reasons. The file system is optimized for large files, as single files are split into blocks and spread across systems known as cluster nodes.^{^[36]} Additionally, the data is protected among the nodes by a replication mechanism, which ensures availability even if any node fails. Further, there are two types of nodes: Data Nodes and Name Nodes.^{^[37]} Data is stored in the form of file blocks across the multiple Data Nodes while the Name Node acts as an intermediary between the client and the Data Node, where it directs the requesting client to the particular Data Node which contains the requested data.

This operating structure for storing data also has various variations within Hadoop such as HBase for key/value pair type queries (a NoSQL based system), Hive for relational type queries, etc. Hadoop’s redundancy, speed, ability to run on commodity hardware, industry support and rapid pace of development have led to it being almost co-equivalently associated with big data.^{^[38]}

Data Awareness

Data Awareness, in the context of big data, is the task of creating a scheme of relationships within a set of data, to allow different users of the data to determine a fluid yet valid context and utilise it for their desired tasks.^{^[39]} It is a relatively new field, in which most of the work is currently being done on semantic structures to allow data to gain context in an interoperable format, in contrast to the current system where data is given context using unique, model specific constructs.^{^[40]} (such as XML Schemes, etc.)

Some of the original work on this field was carried out in the form of utilising the Resource Description Framework (RDF), which was built primarily to allow describing of data in a portable manner, especially being agnostic towards platforms and systems for Semantic Web at the W3C. SPARQL is the language used to implement RDF based designs but both largely remain underutilised in both the public domain as well as big data. Authors such as Kurt

Cagle^{^[41]} and Bob DuCharme^{^[42]} predict its explosion in the next couple of years. Companies have also started realising the value of interoperable context, with Oracle Spatial^{^[43]} and IBM’s DB2^{^[44]} already including RDF and SPARQL support in the past 3 years.

While underutilised, the rapid developments taking place in the field will make the impact that data awareness may have on big data as big as Hadoop and maybe even SQL. Some aspects of it are already beginning to be used in Artificial Intelligence, Natural Language Processing, etc. with tremendous scope for development.^{^[45]}

Data Processing & Analytics

Data Processing largely has three primary goals: a. determines if the data collected is internally consistent; b. make the data meaningful to other systems or users using either metaphors or analogy they can understand; and (what many consider most importantly) provide predictions about future events and behaviours based upon past data and trends.^{^[46]}

Being a very vast field with rapidly changing technologies governing its operation, this section will largely concentrate on the most commonly used technologies in data analytics.

Data analytics requires four primary conditions to be met in order to carry out effective processing: fast, data loading, fast query processing, efficient utilisation of storage and adaptivity to dynamic workload patterns. The analytical model most commonly associated with meeting this criteria and with big data in general is MapReduce, detailed below. There are other, more niche models and algorithms (such as Project Voldemort^{^[47]} used by LinkedIn), which are used in big data but they are beyond the scope of the review, and more information about them can be read at article linked in the previous citation. (Reference architecture and classification of technologies, products and services for big data system)

MapReduce

MapReduce is a generic parallel programming concept, derived from the “Map” and “Reduce” of functional programming languages, which makes it particularly suited for big data operations. It is at the core of Hadoop^{^[48]}, and performs the data processing and analytics functions in other big data systems as well.^{^[49]} The fundamental premise of MapReduce is scaling out rather than scaling up, i.e., (adding more numerical resources, rather than increasing the power of a single system)^{^[50]}

MapReduce operates by breaking a task down into steps and executing the steps in parallel, across many systems. This comes with two advantages, a reduction in the time needed to finish the task and also a decrease in the amount of resources one has to expend to perform the task, in both power and energy. This model makes it ideally suited for the large data sets and quick response times required of big data operations generally.

The first step of a MapReduce job is to correlate the input values to a set of keys/value pairs as output. The “Map” function then partitions the processing tasks into smaller tasks, and assigns them to the appropriate key/value pairs.^{^[51]} This allows unstructured data, such as plain text, to be mapped to a structured key/value pair. As an example, the key could be the punctuation in a sentence and the value of the pair could be the number of occurrences of the punctuation overall. This output of the Map function is then passed on “Reduce” function.^{^[52]} Reduce then collects and combines this output, using identical key/value pairs, to provide the final result of the task.^{^[53]} These steps are carried using the Job Tracker & Task Tracker in Hadoop but different systems have different methodologies to carry out similar tasks.

Data Governance

Data Governance is the act of managing raw big data as well as the processed information that arises from big data in order to meet legal, regulatory and business imposed requirements. While there is no standardized format for data governance, there have been increasing call with various sectors (especially healthcare) to create such a format to ensure reliable, secure and consistent big data utilisation across the board. The following tactics and techniques have been utilised or suggested for data governance, with varying degrees of success:

Zero-knowledge systems: This technological proposal maintains secrecy with respect to the low-level data while allowing encrypted data to be examined for certain higherlevel abstractions.^{^[54]} For the system to be zero-knowledge, the client’s system will have to encrypt the data and send it to the storage provider. Due to this, the provider stores the data in the encrypted format and cannot decipher the same unless he/she is in possession of the key which will decrypt the data into plaintext. This allows the individual to store his data with a storage provider while also maintaining anonymity of the details contained in such information. However, these are currently just beginning to be used in simple situations. As of now, they are not expandable to unstructured and complex cases and have to be developed marginally before they can be used for research and data mining purposes.
Homomorphic encryption: Homomorphic encryption is a privacy preserving technique which performs searches and other computations over data that is encrypted while also protecting the individual’s privacy.^{^[55]} This technique has however been considered to be impractical and is deemed to be an unlikely policy alternative for near future purposes in the context of preserving privacy in the age of big data.^{^[56]}
Multi-party computation: In this technique, computation is done on encrypted distributed data stores.^{^[57]} This mechanism is closely related to homomorphic encryption where individual data is kept private using encryption algorithms called “collusion-robust” while the same is used to calculate statistics.^{^[58]} The parties involved are aware of some private data and each of them use a protocol which produces results based on the information they are aware of and the information they are not aware of, without revealing the data they are not already aware of.^{^[59]} Multi-party computations thus help in generating useful data for statistical and research purposes without compromising the privacy of the individuals.

Differential Privacy: Although this technological development is related to encryption, it follows a different technique. Differential privacy aims at maximizing the precision of computations and database queries while reducing the identifiability of the data owners who have records in the database, usually through obfuscation of query results.^{^[60]} This is widely applied today in the existence of big data in order to ensure preservation of privacy while trying to reap the benefits of large scale data collection.^{^[61]}
Searchable encryption: Through this mechanism, the data subject can make certain data searchable while minimizing exposure and maximizing privacy.^{^[62]} The data owner can make his information available through search engines by providing the data in an encrypted format but by adding tags consisting of certain keywords which can be deciphered by the search engine. This encrypted data shows up in the search results when searched with these particular keywords but can only be read when the person is in possession of the key which is required for decrypting the information.

This technique of encryption provides maximum security to the individual’s data and preserves privacy to the greatest possible extent.

K-anonymity: The property of k-anonymity is being applied in the present day in order to preserve privacy and avoid re-identification.^{^[63]} A certain data set is said to possess the property of k-anonymity if individual specific data can be released and used for various purposes without re-identification. The analysis of the data should be carried out without attributing the data to the individual to whom it belongs and should give scientific guarantees for the same.
Identity Management Systems: These systems enable the individuals to establish and safeguard their identities, explain those identities with the help of attributes, follow the activity of their identities and also delete their identities if they wish to.^{^[64]} It uses cryptographic schemes and protocols to make anonymous or pseudonymous the identities and credentials of the individuals before analysing the data.
Privacy Preserving Data Publishing: This is a method in which the analysts are provided with the individual’s personal information with the ability to decipher particular information from the database while preventing the inference of certain other information which might lead to a breach of privacy.^{^[65]} Data which is essential for the analysis will be provided for processing while sensitive data will not be disclosed. This tool primarily focuses on microdata.
Privacy Preserving Data Mining: This mechanism uses perturbation methods and randomization along with cryptography in order to permit data mining on a filtered version of the data which does not contain any form of sensitive information. PPDM focuses on data mining results unlike PPDP.^{^[66]}

Conclusion

Studying the technology surrounding big data has led to two major observations: the rapid pace of development in the industry and the stark lack of industry standards or government regulations directed towards big data technologies. These observations have been the primary motivating factor for framing further research in the field. Understanding how to deal with big data technologically, rather than just the potential regulation of possible harms after the technological processes have been performed might be critical for the human rights dialogue as these processes become even more extensive, opaque and technologically complicated.

[1] EMC: Data Science and Big Data Analytics. In: EMC Education Services, pp. 1–508 (2012)

[2] Bakshi, K.: Considerations for Big Data: Architecture and Approaches. In: Proceedings of the IEEE Aerospace Conference, pp. 1–7 (2012)

[3] Adams, M.N.: Perspectives on Data Mining. International Journal of Market Research 52(1), 11–19 (2010) ⁴ Elgendy, N.: Big Data Analytics in Support of the Decision Making Process. MSc Thesis, German University in Cairo, p. 164 (2013)

[4] Big Data and Privacy: A Technological Perspective - President’s Council of Advisors on Science and

Technology (May 2014)

[5] Chen, Hsinchun, Roger HL Chiang, and Veda C. Storey. "Business Intelligence and Analytics: From Big Data to Big Impact." MIS quarterly 36.4 (2012): 1165-1188.

[6] Chandramouli, Badrish, Jonathan Goldstein, and Songyun Duan. "Temporal analytics on big data for web advertising." 2012 IEEE 28th international conference on data engineering. IEEE, 2012.

[7] Laurila, Juha K., et al. "The mobile data challenge: Big data for mobile computing research." Pervasive Computing. No. EPFL-CONF-192489. 2012.

[8] Lazer, David, et al. "The parable of Google flu: traps in big data analysis." Science 343.6176 (2014): 12031205.

[9] ibid

[10] Banaee, Hadi, Mobyen Uddin Ahmed, and Amy Loutfi. "Data mining for wearable sensors in health monitoring systems: a review of recent trends and challenges." Sensors 13.12 (2013): 17472-17500.

[11] ibid

[12] Chung, Eric S., John D. Davis, and Jaewon Lee. "Linqits: Big data on little clients." ACM SIGARCH Computer Architecture News. Vol. 41. No. 3. ACM, 2013.

[13] Kornelson, Kevin Paul, et al. "Method and system for developing extract transform load systems for data warehouses." U.S. Patent No. 7,139,779. 21 Nov. 2006.

[14] Henry, Scott, et al. "Engineering trade study: extract, transform, load tools for data migration." 2005 IEEE Design Symposium, Systems and Information Engineering. IEEE, 2005.

[15] Cohen, Jeffrey, et al. "MAD skills: new analysis practices for big data." Proceedings of the VLDB Endowment

[16] .2 (2009): 1481-1492.

[17] Elgendy, Nada, and Ahmed Elragal. "Big data analytics: a literature review paper." Industrial Conference on Data Mining. Springer International Publishing, 2014.

[18] Wu, Xindong, et al. "Data mining with big data." IEEE transactions on knowledge and data engineering 26.1 (2014): 97-107.

[19] Supra Note 17

[20] Hu, Han, et al. "Toward scalable systems for big data analytics: A technology tutorial." IEEE Access 2 (2014):

[21] -687.

[22] Kurt Cagle, Understanding the Big Data Lifecycle - LinkedIn Pulse (2015)

[23] Coyle, Frank P. XML, Web services, and the data revolution. Addison-Wesley Longman Publishing Co., Inc., 2002.

[24] Pautasso, Cesare, Olaf Zimmermann, and Frank Leymann. "Restful web services vs. big'web services: making the right architectural decision." Proceedings of the 17th international conference on World Wide Web. ACM, 2008.

[25] Banker, Kyle. MongoDB in action. Manning Publications Co., 2011

[26] McCreary, Dan, and Ann Kelly. "Making sense of NoSQL." Shelter Island: Manning (2014): 19-20.

[27] ibid

[28] Zhang, Hao, et al. "In-memory big data management and processing: A survey." IEEE Transactions on Knowledge and Data Engineering 27.7 (2015): 1920-1948.

[29] ibid

[30] ibid

[31] Supra Note 20

[32] Ballard, Chuck, et al. IBM solidDB: Delivering Data with Extreme Speed. IBM Redbooks, 2011.

[33] Shanahan, James G., and Laing Dai. "Large scale distributed data science using apache spark." Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. ACM, 2015. ³³ Shvachko, Konstantin, et al. "The hadoop distributed file system." 2010 IEEE 26th symposium on mass storage systems and technologies (MSST). IEEE, 2010.

[34] Borthakur, Dhruba. "The hadoop distributed file system: Architecture and design." Hadoop Project Website

[35] .2007 (2007): 21.

[36] ibid

[37] ibid

[38] Zikopoulos, Paul, and Chris Eaton. Understanding big data: Analytics for enterprise class hadoop and streaming data. McGraw-Hill Osborne Media, 2011.

[39] Bizer, Christian, et al. "The meaningful use of big data: four perspectives--four challenges." ACM SIGMOD Record 40.4 (2012): 56-60.

[40] Kaisler, Stephen, et al. "Big data: issues and challenges moving forward." System Sciences (HICSS), 2013 46th Hawaii International Conference on. IEEE, 2013.

[41] Supra Note 21

[42] DuCharme, Bob. "What Do RDF and SPARQL bring to Big Data Projects?." Big Data 1.1 (2013): 38-41.

[43] Zhong, Yunqin, et al. "Towards parallel spatial query processing for big spatial data." Parallel and

Distributed Processing Symposium Workshops & PhD Forum (IPDPSW), 2012 IEEE 26th International. IEEE, 2012.

[44] Ma, Li, et al. "Effective and efficient semantic web data management over DB2." Proceedings of the 2008 ACM SIGMOD international conference on Management of data. ACM, 2008.

[45] Lohr, Steve. "The age of big data." New York Times 11 (2012).

[46] Pääkkönen, Pekka, and Daniel Pakkala. "Reference architecture and classification of technologies, products and services for big data systems." Big Data Research 2.4 (2015): 166-186.

[47] Sumbaly, Roshan, et al. "Serving large-scale batch computed data with project voldemort." Proceedings of the 10th USENIX conference on File and Storage Technologies. USENIX Association, 2012.

[48] Bar-Sinai, Michael. "Big Data Technology Literature Review." arXiv preprint arXiv:1506.08978 (2015).

[49] ibid

[50] Condie, Tyson, et al. "MapReduce Online." Nsdi. Vol. 10. No. 4. 2010.

[51] Supra Note 47

[52] Dean, Jeffrey, and Sanjay Ghemawat. "MapReduce: a flexible data processing tool." Communications of the ACM 53.1 (2010): 72-77.

[53] ibid

[54] Big Data and Privacy: A Technological Perspective, White House,

https://www.whitehouse.gov/sites/default/files/microsites/ostp/PCAST/pcast_big_data_and_privacy__may_2014

[55] Tene, Omer, and Jules Polonetsky. "Big data for all: Privacy and user control in the age of analytics." Nw. J. Tech. & Intell. Prop. 11 (2012): xxvii.

[56] Big Data and Privacy: A Technological Perspective, White House,

https://www.whitehouse.gov/sites/default/files/microsites/ostp/PCAST/pcast_big_data_and_privacy__may_2014

[57] Privacy by design in big data, ENISA

[58] Big Data and Privacy: A Technological Perspective, White House,

https://www.whitehouse.gov/sites/default/files/microsites/ostp/PCAST/pcast_big_data_and_privacy__may_2014

[59] Id

[60] Id

[61] Tene, Omer, and Jules Polonetsky. "Privacy in the age of big data: a time for big decisions." Stanford Law Review Online 64 (2012): 63.

[62] Lane, Julia, et al., eds. Privacy, big data, and the public good: Frameworks for engagement. Cambridge University Press, 2014.

[63] Crawford, Kate, and Jason Schultz. "Big data and due process: Toward a framework to redress predictive privacy harms." BCL Rev. 55 (2014): 93.

[64] http://homes.esat.kuleuven.be/~sguerses/papers/DanezisGuersesSurveillancePets2010.pdf

[65] Seda Gurses and George Danezis, A critical review of 10 years of privacy technology, August 12th 2010, http://homes.esat.kuleuven.be/~sguerses/papers/DanezisGuersesSurveillancePets2010.pdf

[66] Id

For more details visit https://cis-india.org/internet-governance/blog/technology-behind-big-data

The Surveillance Industry in India – An Analysis of Indian Security Expos

divij — 2015-03-08T12:25:15Z

The author talks about the surveillance industry in India and analyses Indian security expos.

Introduction

The 'Spy Files', a series of documents released by whistleblower website WikiLeaks over the last few years, exposed the tremendous growth of the private surveillance industry across the world - a multi-billion dollar industry thriving on increasing governmental and private capabilities for mass surveillance of individuals.[1] These documents showed how mass surveillance is increasingly made possible through new technologies developed by private players, often exploiting the framework of nascent but burgeoning information and communication technologies like the internet and communication satellites. Moreover, the unregulated and undiscerning nature of the industry means that it has enabled governments (and also private agencies) across the world - from repressive dictatorships to governments in western democracies with a growing track record of privacy and civil liberties infringements - to indulge in secretive, undemocratic and often illegal surveillance of their citizens. The Spy Files and related research have revealed how the mass surveillance industry utilizes the rhetoric of national security and counter-terrorism to couch technologies of surveillance.

'Security' and the Normalization Of Surveillance

New technologies undoubtedly create a potential for both malicious as well as beneficial use for society. Surveillance technologies are a prime example, having both enabled improvements in law enforcement and security, but at the same time creating unresolved implications for privacy and civil liberties. These technologies expose what Lawrence Lessig describes as 'latent ambiguities' in the law - ambiguities that require us to assess the implications and effects of new technologies and how to govern them, and most importantly, to choose between conflicting values regarding the use of technologies, for example, increased security as against decreased privacy.[2]

Unfortunately, In India, the ambiguity seems to have been resolved squarely in favour of surveillance - under the existing regulatory regime, surveillance is either expressly mandated or unregulated, and requires surveillance to be built into the architecture and design of public spaces like internet and telephone networks, or even public roads and parks. Most of these regulations or mechanisms are framed without democratic debate, through executive mechanisms and private contracts with technology providers, without and public accountability or transparency.

For example, under the telecom licensing regime in India, the ISP and UASL licenses specifically require lawful interception mechanisms through hardware or software to be installed by the licensees, for information (Call Data Records, Packet Mirroring, Call Location) to be provided to 'law enforcement agencies', as specified by the Government.[3] Section 69 of the Information Technology Act, the main legislation governing the Internet in India, read with the rules framed under the Act, makes it incumbent upon 'intermediaries' to provide surveillance facilities at the behest of government agencies.[4]

Beyond this, the State and its agencies Section 69 and 69B of the IT Act empower the government to intercept and monitor any data on the Internet. The Telegraph Act also permits wiretapping of telephony.[5] The proposed Central Monitoring System by the Central Government would give state agencies centralized access to all telecommunications in real time, on telephony or on the Internet. Other surveillance schemes include the Keyword Tracking system NETRA, as well as several state government proposed comprehensive CCTV-surveillance schemes for cities. [6] Clearly, therefore, there is a massive market for surveillance technologies in India.

Tracking the Surveillance Market

The Mass surveillance industry by its very nature is closed, secretive and without democratic oversight, Insights into the prevalence, nature and scope of the companies that form this industry, or the technologies that are utilized are far and few. No democratic debate about surveillance can take place in such a paradigm. In this context, security expos and exhibitions provide critical insight into this industry. Several of the important revelations about the industry in the past have been from examinations of large exhibitions in which the various governmental and industry actors participate, and therefore, such analysis is critical to the debate surrounding mass surveillance. Such exhibitions are a logical starting point because they are one of the few publically accessible showcases of surveillance-ware, and are also a congregation of most major players who are part of this market both as suppliers and purchasers.

Our research identified at least 13 exhibitions in India that specifically cater to the surveillance industry. A brief outline of each of these exhibitions is provided below:

1. Secutech India (Brochures: 2015 -http://www.secutechindia.co.in/pdf/secutech%20brochure.pdf)

The Secutech Expo is an exhibition held in Bombay and Delhi since 2011, to showcase Information Security, Electronic Security and Homeland Security technologies. Secutech also organizes the Global Digital Surveillance Forum, a conference amongst the stakeholders of digital surveillance industry in India.[7]

Exhibitors: Ivis; Matrix Comsec; Neoteric; Smartlink; Kanoe; Micro Technologies; Aditya Infrotech; CoreTech Solutions; Merit Lilin; Schneider Electric; Pash systems; Nettrack Technologies Pvt Ltd.; QNAP; Axxonsoft; Hk Vision (China); Alhua; Axis; Vivotech (Taiwan); Endroid (USA); Vantge (UK); Pelco (France); Advik; Hi Focus (UK); ESMS; Keeper (China); Neoteric; Vizor, etc

Visitors: The visitor profile and target audience consists of government and defense agencies, besides private agencies.

Technologies on display: Digital surveillance, biometrics, CCTV and RFID are some categories of the technologies which are showcased here.

2. IFSEC India (Brochures: 2013 - http://www.ifsecindia.com/uploads/IFSEC%20INDIA%20brochure%202013.pdf; 2014 - http://www.ubmindia.in/ifsec_india/uploads/IFSEC_INDIA_Brochure_CS5_new_low.pdf.)

IFSEC India, an extension of IFSEC UK, the 'worlds largest security exhibition', proclaims to be South Asia's largest security exhibition with 15,000 participants in its latest edition, including a special segment on surveillance. It has been held in either Bombay or Delhi since 2007.

Exhibitors: Honeywell; Infinova; Radar Vision; QNAP; Ensign; Winposee; Bosch; Comguard; Verint; ACSG; Ensign etc.

Visitors: Visitors include government agencies such as the Central Industrial Security Force, Border Security Force, Department of Internal Security, Railway Protection Force and the Department of Border Management.

Technologies on display: RFID, Video Surveillance, Surveillance Drones, IP Surveillance, Digital Surveillance and Monitoring were some of the categories of technologies on display.

3. India International Security Expo (Brochures: 2014 - http://www.indiasecurityexpo.com/images/e_brochure.pdf)

Held in New Delhi since 1996, and organized by the Ministry of Home Affairs, the expo is described as "India's largest show case of goods and services related to Homeland Security, Fire Safety, Traffic Management, Industrial Safety and Public Safety, Hospitality and Reality Security." With specific reference to the changing 'modus operandi of crime by using technology', the Expo focuses on using surveillance technologies for law enforcement purposes.

Exhibitors: Intellivision (USA); Intex (India); ESC Baz (Israel); Sparsh Securitech; Source Security (USA); Intellivision (USA); Interchain Solutions; ESSI; Kritikal; Matrix; Pace Solutions etc.

Visitors: According to the show's brochure, visitors include Central & State Police Organisations, Paramilitary Forces, Policy-makers from the Government, Industrial Establishments, Security Departments of Educational, Retail, Hospitality, Realty & other sectors, Colonisers, Builders, RWAs, System Integrators Large business houses and PSU's.

Technologies on display: Access control systems, surveillance devices, RFID, traffic surveillance and GPS Tracking.

4. Secure Cities Expo (Brochures: 2013 - http://securecitiesindia.com/Secure_Cities_2013_Brochure.pdf; 2014 - http://securecitiesindia.com/images/2014/SC_2014_Brochure.pdf.)

Secure Cities Expo has been organized since 2008, on the platform of providing homeland security solutions and technologies to government and private sector participants.

Exhibitors: Dell; Palo Alto Networks; Motorola; Konnet; Vian Technologies; Quick Heal; Intergraph, GMR, Tac Technologies, Steria, Teleste, Elcom, Indian Eye Security; Mirasys; CBC Group; Verint (USA); IBM (USA); Digitals; EyeWatch; Kanoe; NEC (Japan); ACSG Corporate; ESRI (USA), etc.

Visitors: Visitors include government and law enforcement agencies including the Ministry of Home Affairs as well as systems integrators and private firms including telecom firms.

Technologies on display: CCTV, Biometrics, Covert Tracking and Surveillance Software, Communication Interception, Location and Tracking systems, and IT Security.

5. Defexpo India (Brochures: No publically available brochures)

By far India's largest security exposition, the Ministry of Defense has organized Defexpo India since 1999, showcasing defense, border, and homeland security systems from technology providers internationally.

Exhibitors: Aurora Integrated; Airbus Defence (France); Boeing (USA); Hacking Team (Italy); Kommlabs (Germany); Smoothwall; Atlas Electronik; Cyint; Audiotel International; Cobham; Tas-Agt; Verint; Elsira (Elbit) (Israel); IdeaForge; Comint; Controp; Northrop Gruman; Raytheon; C-DoT; HGH Infrared (Israel); Okham Solutions (France); Septier (Israel); Speech Technology Centre (Russia); Aerovironment (USA); Textron; Sagem (France); Amesys (France); Exelis; ITP Novex (Israel), etc.

Visitors: The latest edition of the Expo saw participation from governmental delegations from 58 countries, besides Indian governmental and law enforcement authorities.

Technologies on display: The entire spectrum of surveillance and homeland security devices is on display at Defexpo, from Infrared Video to Mass Data Interception.

6. Convergence India Expo (Brochures: 2012 - http://convergenceindia.org/download/CI2012-PSR.pdf; 2014 -http://www.convergenceindia.org/pdf/CI-2014-Brochure.pdf; 2015 - http://www.convergenceindia.org/pdf/brochure-2015.pdf.)

Convergence India, being held in New Delhi since 1991, is a platform for interaction between Information and Communication Technology providers and purchasers in the market. In recent years, the expo has catered to the niche market for IT surveillance.

Exhibitors: ELT (UK); Comguard; Fastech; Synway (China); Saltriver; Anritsu (Japan); Cdot; Fastech; Rahul Commerce; Deviser Electronics; RVG Diginet; Blue Coat (USA); Cyberoam (USA); ZTE (China); Net Optics (USA); Controp; Comint etc.

Visitors: Visitors include Paramilitary Forces, Cable Operators, Government Ministries and PSU's and Telecom and Internet Service Providers.

Technologies on Display: Biometrics, Content Filtering, Data Mining, Digital Forensics, IP-Surveillance, Embedded Softwares, Network Surveillance and Satellite Monitoring were some of the technologies on display.

7. International Police Expo (Brochures: 2014 - http://www.nexgengroup.in/exhibition/internationalpoliceexpo/download/International_Police_Expo_2014.pdf.)

The International Police Expo held in New Delhi focuses on providing technologies to police forces across India, with specific focus on IT security and communications security.

Exhibitors: 3G Wireless Communications Pvt Ltd; Motorola Solutions; Cyint; Matrix Comsec; Cellebrite; Hayagriva; MKU; CP Plus etc.

Visitors: Visitors include State Police, Procurement Department, CISF, CRPF, RAF, BSF, Customs, GRPF, NDRF, Special Frontier Force, Para Commandos, Special Action Group, COBRA and PSU's and educational institutes, stadiums and municipal corporations, among others.

Technologies on display: Technologies include RFID and surveillance for Internal Security and Policing, CCTV and Monitoring, Vehicle Identification Systems, GPS, Surveillance for communications and IT, Biometrics and Network surveillance.

8. Electronics For You Expo (EFY Expo) ( 2014 - http://2013.efyexpo.com/wp-content/uploads/2014/03/efy_PDFisation.pdf; 2015 - http://india.efyexpo.com//wp-content/uploads/2014/03/5th%20EFY%20Expo%20India_Brochure.pdf.)

EFY Expo is a electronics expo which showcases technologies across the spectrum of electronics industry. It has been held since 2010, in New Delhi, and is partnered by the Ministry of Communications and IT and the Ministry of Electronics and IT.

Exhibitors: Vantage Security; A2z Securetronix; Avancar Security; Digitals security; Securizen Systems; Vision Security; Mangal Security Systems, etc.

Visitors: The visitors include Government Agencies and ministries as well as systems integrators and telecom and IT providers.

Technologies on display: Identification and Tracking Products and Digital Security Systems are a specific category of the technologies on display.

9. Indesec Expo (Brochures: 2009 - http://www.ontaero.org/Storage/14/897_INDESEC_Oct11-13_2009.pdf. )

An exhibition focused on homeland security, and sponsored by the Ministry of Home Affairs, the expo has been held since 2008 in New Delhi, which includes a specific category for cyber security and counter terrorism.

Exhibitors: Rohde and Schwarz; Salvation Data; AxxonSoft; KritiKal; Shyam Networks; Teledyne Dalsa; Honeywell; General Dynamics; Northrop Grumman; Interchain Solutions, etc.

Visitors: Visitors include officials of the central government, central police and paramilitary forces, Ministry of Defence, central government departments, institutes and colleges, state government and police and ports and shipping companies.

10. Next Generation Cyber Threats Expo

Held since 2012 in New Delhi and Mumbai, the Next Generation Cyber Threats Expo focuses on securing cyber infrastructure and networks in India.

Exhibitors: Ixia, CheckPoint, etc.

Visitors: Visitors include Strategic Planning Specialists, Policy Makers and Law Enforcement among others.

11. SmartCards/RFID/e-Security/Biometrics expo (Brochures: 2013 - http://cis-india.org/internet-governance/blog/brochures-from-expos-in-india-2013 ; 2015 - http://www.smartcardsexpo.com/pdf/SmartCards_Expo_2015_Brochure_$.pdf)

These expos are organized by Electronics Today in Delhi or Mumbai since 1999 and supported by the Ministries of Commerce, Home Affairs and External Affairs. They showcase various identification solutions, attended by hundreds of domestic and international exhibitors.

Visitors: Target audiences include central and local level law enforcement and government organizations, Colleges and Universities, and defense forces.

12. Com-IT Expo (Brochure: 2014 - http://www.comitexpo.in/doc/Brochure.pdf)

This expo has been organized by the Trade Association of Information and Technology in Mumbai since 2008, and focuses on software and hardware Information Technology, with specific focus on IT security and surveillance.

Visitors: Visitors include Government Agencies, Airport Authorities, Police and Law Enforcement, Urban Planners, etc.

Technologies Displayed: CCTV's, Surveillance Devices and IP Cameras, etc.

13. GeoIntelligence India (Brochures: 2013 - http://www.geointelligenceindia.org/2013/Geointelligence%20India%20Brochure.pdf; 2014 - http://geointworld.net/Documents/GeoInt_Brochure_2014.pdf.)

It is an exposition held in New Delhi since 2014, organized by Geospatial Media and Communications Pvt Ltd, and is 'dedicated to showcasing the highest levels of information exchange and networking within the Asian defense and security sector.'

Exhibitors: ESRI (USA); BAE Systems (UK); Leica (Switzerland); Helyx (UK); Digital Globe; Intergraph; Trimble (USA); RSI Softech; Silent Falcon etc.

Visitors: Visitors included the Director General of Information Systems, CRPF, Manipur, Delhi, Haryana and Nagaland Police, CBI, ITBP, NSDI, SSB, National Investigation Agency, Signals Intelligence Directorate among others.

Surveillance Wares in India - The Surveillance Exhibits and what they tell us about the Indian Surveillance Industry

An analysis of the above companies and their wares give us some insight into what is being bought and sold in the surveillance industry, and by whom. Broadly, the surveillance technologies can be grouped in the following categories:

Video Surveillance and Analysis

IP Video Surveillance and CCTV are quickly becoming the norm in public spaces. Emerging video surveillance tools allow for greater networking of cameras, greater fields of vision, cheaper access and come with a host of tools such as facial recognition and tracking as well as vehicle tracking. For example, IBM has developed an IP Video Analytics system which couples monitoring with facial recognition.[8] USA's Intellivision also offers analytics systems which enable licence plate tracking, facial recognition and object recognition.[9] HGH Infrared's Spynel system allows infrared wide-area surveillance,[10] and CBC's GANZ allows long-range, hi-resolution surveillance. [11]

Video surveillance is gradually infiltrating public spaces in most major cities, with Governments promoting large-scale video surveillance schemes for security, with no legal sanctions or safeguards for protecting privacy.

Companies showcasing Video Surveillance: 3G Wireless Communications Pvt Ltd, Motorola Solutions (USA), Bosch, CP Plus, Ivis, Aditya Infotech, Micro technologies, Core Tech (Denmark), Merit Lilin , Schneider Electric, Shyam Systems, Dalsa, Honeywell, Teleste, Mirasys, CBC Group, Infinova, Radar Vision, QNAP, Ensign, Winposee, Bosch, Hik Vision (China), Alhua, Axis Communications, Vivotech (Taiwan), Endroid (USA), Vantge (UK), Pelco (France), Advik, Hi Focus (UK), ESMS, Keeper (China), Neoteric, Vizor, Verint (USA), IBM (USA), Digitals Security, Intellivision (USA), Intex, Esc Baz (Israel), Sparsh Securitech, A2zsecuretronix, Avancar Security, Securizen Systems, Vision Security, HGH Infrared (Israel).

RFID/Smart Cards/Biometric Identification

India has begun the implementation of the Unique Identification Programme for its 1.2 billion strong population, combining a host of identification technologies to provide a unique identification number and Aadhar Card - promoted as an all-purpose ID. However, this remains without legislative sanction, and continues in the face of severe privacy concerns. Such centralized, accessible databases of ostensibly private information present a grave threat to privacy. RFID, Smart Cards and Biometric Identification technologies (like the Aadhar) all make individual monitoring and surveillance significantly easier by enabling tracking of individual movements, consumer habits, attendance, etc.

Companies showcasing Identification Technologies:

AxxonSoft, Matrix Comsec, Ensign, Hi focus, Intellivision (USA), Interchain solutions, Inttelix, Kanoe, NEC (Japan), Pace, Realtime, Secugen, Source Security (USA), Spectra, Speech technology centre (Russia), BioEnable Technologies.

(For a more detailed list, see the Smart Cards Expo Brochures, linked above)

Mass Data Gathering, Monitoring and Analysis

The age of Big Data has led to big surveillance. Information and communication technologies now host significant amounts of individual data, and the surveillance industry makes all of this data accessible to a surveyor. Government mandated surveillance means any and all forms of communication and data monitoring are being implemented in India - there are network taps on telephony and deep packet inspection on internet lines, which makes telephone calls, SMS, VoIP, Internet searches and browsing and email all vulnerable to surveillance, constantly monitored through systems like the Central Monitoring System. Moreover, centralized information stores enable data mining - extracting and extrapolating data to enable better surveillance, which is what India's NATGRID aims to do.

Hacking Team Italy, Blue Coat USA and Amesys France, three of the five companies identified as 'enemies of the internet' for enabling dictatorships to use surveillance to quell dissent and violate human rights,[12] have all presented surveillance solutions at Defexpo India. Cyberoam USA and ZTE China also market Deep Packet Inspection technology,[13] while ESRI's Big Data suite allows analysis through mass surveillance and analysis of social media and publically available sources. [14]

Indian companies showcasing mass data monitoring technologies include Cyint, Fastech DPI tools,[15] Kommlabs VerbaProbe packet switching probes,[16] and ACSG's OSINT, which allows Big Data social media surveillance and Call Data Record analysis.[17]

Companies showcasing Data Gathering and Monitoring technologies:

Cobham, Comguard, Cyint, ELT (UK), Fastech, Hacking Team (Italy), Smoothwall (USA), Verint Systems (USA), Cyint technologies, Atlas Electronik (Germany), Audiotel International (UK), Avancar, Cobham (UK), ELT (UK), Eyewatch, Kommlabs, Mangal Security Systems, Merit Lilin (Taiwan), Ockham Solutions (France), Septier (Israel), Synway (China), ACSG Corporate, Amesys (France), Anritsu (Japan), Axis (Sweden), BAE Systems (UK), Blue Coat (USA), C-dot, Comint, Cyberoam (USA), Deviser Electronics, Elsira (Elbit) (Israel), Esri (USA), Exelis, General Dynamics (USA), Helyx (UK), ITP Novex (Israel), Leica (Switzerland), Net Optics (Ixia) (USA), Northrop Gruman (USA), Rahul Commerce, Rohde And Schwarz (Germany), RVG Diginet, Tas-Agt, Trueposition (USA), Zte Technologies (China).

Cell-Phone Location Tracking and Vehicle Monitoring

A number of technologies enable location tracking through vehicle GPS, GLONASS or other location technologies. RFID or optical character recognition further enables Automatic Number Plate Recognition, which can be exploited to enable vehicle surveillance to track individual movements. Embedded hardware and software on mobile phones also allows constant transmission of location data, which is exploited by surveillance agencies to track individual movements and location.

Companies showcasing Cell-Phone Location Tracking technologies: Verint, Eyewatch, Septier (Israel), True Position (USA),

Companies showcasing Vehicle Monitoring technologies: Hi-techpoint technologies pvt ltd, Axxonsoft, Essi, Fareye, Intellivision (USA), Interchain Solutions, ITP Novex (Israel), Kaneo, Kritikal, NEC (Japan), Saltriver Infosystems, Vision Security Systems.

Air/Ground Drones and Satellite Surveillance

The use of unmanned drones for security purposes is being adopted for law enforcement and surveillance purposes across the world, and India is no exception, using UAV's for surveillance in insurgency-hit areas,[18] amongst other uses, while still having no regulations for their use.[19] Drones, both aerial and ground level, are capable of large-scale territorial surveillance, often equipped with high-technology video surveillance that allows for efficient monitoring at the ground level.

Digital Globe offers satellite reconnaissance surveillance coupled with Big Data analysis for predictive monitoring. [20] Controp offers cameras specifically for aerial surveillance, while Sagem's Patroller Drone and Sperwer, and Silent Falcon's Solar Powered surveillance drone are Unmanned Aerial Vehicles (UAV's) for aerial video surveillance. Auruora Integrated, [21] and IdeaForge are Indian companies which have developed UAV surveillance drones in collaboration with Indian agencies.[22]

Companies showcasing Drone Surveillance: Aurora Integrated, Controp (Israel), Aerovironment (USA), Digital Globe (USA), ESRI (USA), Intergraph (USA), RSI Softech, Sagem (France), Silent Falcon (UAS), Textron (USA), Trimble (USA), Northrop Grumman (USA).

[1] Wikileaks, The Spy Files, available at https://www.wikileaks.org/the-spyfiles.html.

[2] Lawrence Lessig, Code V 2.0.

[3] For more information on the licensing regime, see 'Data Retention in India', available at http://cis-india.org/internet-governance/blog/data-retention-in-india.

[4] Rule 13, Information Technology (Procedure and Safeguards for Interception, Monitoring and Decryption of Information) Rules, 2009.

[5] Section 5, Indian Telegraph Act, 1885.

[6] See, for example, the Bangalore Traffic Police CCTV Scheme, http://www.bangaloretrafficpolice.gov.in/index.php?option=com_content&view=article&id=66&btp=66 ; the surveillance scheme supported by the MPLAD Scheme, http://mplads.nic.in/circular08112012.pdf; Mumbai's proposed video surveillance scheme, http://www.business-standard.com/article/companies/wipro-tata-ibm-reliance-among-31-bids-for-cctv-scheme-in-mumbai-112112600160_1.html.

[7] Information on the Forum is available at http://gdsf-india.com/Global-Digital-Surveillance-Forum1/images/GDSF-Bengaluru-Conference-program.pdf.

[8] http://www-01.ibm.com/support/knowledgecenter/SS88XH_1.6.0/iva/int_i2frs_intro.dita

[9] http://www.intelli-vision.com/products/recognition-suite

[10] http://www.hgh-infrared.com/Products/Optronics-for-security

[11] http://www.ifsecglobal.com/cbc-high-end-surveillance-tech-on-display-at-ifsec-india/

[12] http://surveillance.rsf.org/en/category/corporate-enemies/

[13] http://www.cyberoam.com/firewall.html

[14] http://www.esri.com/products/arcgis-capabilities/big-data

[15] http://www.fastech-india.com/packetBrokers.html

[16] http://www.kommlabs.com/products-verbaprobe.asp

[17] http://www.acsgcorporate.com/osint-software.html

[18] http://timesofindia.indiatimes.com/india/UAV-proves-ineffective-in-anti-Maoist-operations/articleshow/20400544.cms

[19] http://dronecenter.bard.edu/drones-in-india/

[20] https://www.digitalglobe.com/products/analytic-services

[21] http://www.aurora-is.com/

[22] http://www.ideaforge.co.in/home/

For more details visit https://cis-india.org/internet-governance/blog/surveillance-industry-in-india-analysis-of-indian-security-expos

Centre for Internet and Society

Trans Pacific Partnership and Digital 2 Dozen: Implications for Data Protection and Digital Privacy

1. Introduction

2. Analysis of TPP and D2D

2.1. Trans Pacific Partnership (TPP)

2.2 Digital 2 Dozen (D2D)

3. Major Issues Related to Data Protection and Privacy in the TPP

3.1. Data Protection

3.2. Digital Privacy

4.Implications of TPP for RCEP

5. Implications of TPP in the Context of EU Safe-Harbour Judgement

6. Implications of TPP in the context of USA-India Cyber Relationship

7. Conclusion

8. Endnotes

9. Author Profile

TRAI recommendations on data privacy raises eyebrows

Token security or tokenized security?

Token disclosures?

India References

India, A Bit-Player

Transparency Trends

Secret Orders Excluded

'Not the Whole Truth'

To protect data, don’t opt for plastic or laminated Aadhaar card: UIDAI

Tired of tele-marketing calls? Act on privacy right: Experts

Through the looking glass: Analysing transparency reports

Three Years Later, IPaidABribe.com Pays Off

They know where you are

Why it endangers lives

There's a Spy Behind Your Gadget Screen Tracking Data

The​ ​Fundamental​ ​Right​ ​to​ ​Privacy:​ ​Part​ ​III SCOPE

The Walls Have Ears

The trouble with trolls

The Technology behind Big Data

Download the Paper (PDF, 277 kb)

Introduction

Data Acquisition

Data Sensing

Born Digital Data

Sensor Data

Data Collection & Storage

Non-relational databases

In-Memory Databases

Hybrid Systems

Apache Hadoop

Data Awareness

Data Processing & Analytics

MapReduce

Data Governance

Conclusion

The Surveillance Industry in India – An Analysis of Indian Security Expos

The Fundamental Right to Privacy: Part III SCOPE