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Information privacy

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(Redirected from Data protection)

Information privacy is the relationship between the collection and dissemination of data, technology, the public expectation of privacy, contextual information norms, and the legal and political issues surrounding them.[1] It is also known as data privacy[2] or data protection.

Information types

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Various types of personal information often come under privacy concerns.

Cable television

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This describes the ability to control what information one reveals about oneself over cable television, and who can access that information. For example, third parties can track IP TV programs someone has watched at any given time. "The addition of any information in a broadcasting stream is not required for an audience rating survey, additional devices are not requested to be installed in the houses of viewers or listeners, and without the necessity of their cooperations, audience ratings can be automatically performed in real-time."[3]

Educational

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In the United Kingdom in 2012, the Education Secretary Michael Gove described the National Pupil Database as a "rich dataset" whose value could be "maximised" by making it more openly accessible, including to private companies. Kelly Fiveash of The Register said that this could mean "a child's school life including exam results, attendance, teacher assessments and even characteristics" could be available, with third-party organizations being responsible for anonymizing any publications themselves, rather than the data being anonymized by the government before being handed over. An example of a data request that Gove indicated had been rejected in the past, but might be possible under an improved version of privacy regulations, was for "analysis on sexual exploitation".[4]

Financial

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Main article: Financial privacy

Information about a person's financial transactions, including the amount of assets, positions held in stocks or funds, outstanding debts, and purchases can be sensitive. If criminals gain access to information such as a person's accounts or credit card numbers, that person could become the victim of fraud or identity theft. Information about a person's purchases can reveal a great deal about that person's history, such as places they have visited, whom they have contact with, products they have used, their activities and habits, or medications they have used. In some cases, corporations may use this information to target individuals with marketing customized towards those individual's personal preferences, which that person may or may not approve.[4]

Information technology

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As heterogeneous information systems with differing privacy rules are interconnected and information is shared, policy appliances will be required to reconcile, enforce, and monitor an increasing amount of privacy policy rules (and laws). There are two categories of technology to address privacy protection in commercial IT systems: communication and enforcement.

Policy communication
  • P3P – The Platform for Privacy Preferences. P3P is a standard for communicating privacy practices and comparing them to the preferences of individuals.
Policy enforcement
  • XACML – The Extensible Access Control Markup Language together with its Privacy Profile is a standard for expressing privacy policies in a machine-readable language which a software system can use to enforce the policy in enterprise IT systems.
  • EPAL – The Enterprise Privacy Authorization Language is very similar to XACML, but is not yet a standard.
  • WS-Privacy – "Web Service Privacy" will be a specification for communicating privacy policy in web services. For example, it may specify how privacy policy information can be embedded in the SOAP envelope of a web service message.
Improving privacy through individualization

Computer privacy can be improved through individualization. Currently security messages are designed for the "average user", i.e. the same message for everyone. Researchers have posited that individualized messages and security "nudges", crafted based on users' individual differences and personality traits, can be used for further improvements for each person's compliance with computer security and privacy.[5]

Improve privacy through data encryption

By converting data into a non-readable format, encryption prevents unauthorized access. At present, common encryption technologies include AES and RSA. Use data encryption so that only users with decryption keys can access the data.[6]

Internet

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Main article: Internet privacy

The ability to control the information one reveals about oneself over the internet and who can access that information has become a growing concern. These concerns include whether email can be stored or read by third parties without consent or whether third parties can continue to track the websites that someone visited. Another concern is whether websites one visits can collect, store, and possibly share personally identifiable information about users.

The advent of various search engines and the use of data mining created a capability for data about individuals to be collected and combined from a wide variety of sources very easily.[7][8][9] AI facilitated creating inferential information about individuals and groups based on such enormous amounts of collected data, transforming the information economy. [10] The FTC has provided a set of guidelines that represent widely accepted concepts concerning fair information practices in an electronic marketplace, called the Fair Information Practice Principles. But these have been critiqued for their insufficiency in the context of AI-enabled inferential information. [10]

On the internet many users give away a lot of information about themselves: unencrypted e-mails can be read by the administrators of an e-mail server if the connection is not encrypted (no HTTPS), and also the internet service provider and other parties sniffing the network traffic of that connection are able to know the contents. The same applies to any kind of traffic generated on the Internet, including web browsing, instant messaging, and others. In order not to give away too much personal information, e-mails can be encrypted and browsing of webpages as well as other online activities can be done traceless via anonymizers, or by open source distributed anonymizers, so-called mix networks. Well-known open-source mix nets include I2P – The Anonymous Network and Tor.[11]

Email is not the only internet content with privacy concerns. In an age where increasing amounts of information are online, social networking sites pose additional privacy challenges. People may be tagged in photos or have valuable information exposed about themselves either by choice or unexpectedly by others, referred to as participatory surveillance. Data about location can also be accidentally published, for example, when someone posts a picture with a store as a background. Caution should be exercised when posting information online. Social networks vary in what they allow users to make private and what remains publicly accessible.[12] Without strong security settings in place and careful attention to what remains public, a person can be profiled by searching for and collecting disparate pieces of information, leading to cases of cyberstalking[13] or reputation damage.[14]

Cookies are used on websites so that users may allow the website to retrieve some information from the user's internet, but they usually do not mention what the data being retrieved is.[15] In 2018, the General Data Protection Regulation (GDPR) passed a regulation that forces websites to visibly disclose to consumers their information privacy practices, referred to as cookie notices.[15] This was issued to give consumers the choice of what information about their behavior they consent to letting websites track; however, its effectiveness is controversial.[15] Some websites may engage in deceptive practices such as placing cookie notices in places on the page that are not visible or only giving consumers notice that their information is being tracked but not allowing them to change their privacy settings.[15] Apps like Instagram and Facebook collect user data for a personalized app experience; however, they track user activity on other apps, which jeopardizes users' privacy and data. By controlling how visible these cookie notices are, companies can discreetly collect data, giving them more power over consumers.[15]

Locational

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As location tracking capabilities of mobile devices are advancing (location-based services), problems related to user privacy arise. Location data is among the most sensitive data currently being collected.[16] A list of potentially sensitive professional and personal information that could be inferred about an individual knowing only their mobility trace was published in 2009 by the Electronic Frontier Foundation.[17] These include the movements of a competitor sales force, attendance of a particular church or an individual's presence in a motel, or at an abortion clinic. A recent MIT study[18][19] by de Montjoye et al. showed that four spatio-temporal points, approximate places and times, are enough to uniquely identify 95% of 1.5 million people in a mobility database. The study further shows that these constraints hold even when the resolution of the dataset is low. Therefore, even coarse or blurred datasets provide little anonymity.

Medical

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Main article: Medical privacy

People may not wish for their medical records to be revealed to others due to the confidentiality and sensitivity of what the information could reveal about their health. For example, they might be concerned that it might affect their insurance coverage or employment. Or, it may be because they would not wish for others to know about any medical or psychological conditions or treatments that would bring embarrassment upon themselves. Revealing medical data could also reveal other details about one's personal life.[20] There are three major categories of medical privacy: informational (the degree of control over personal information), physical (the degree of physical inaccessibility to others), and psychological (the extent to which the doctor respects patients' cultural beliefs, inner thoughts, values, feelings, and religious practices and allows them to make personal decisions).[21] Physicians and psychiatrists in many cultures and countries have standards for doctor–patient relationships, which include maintaining confidentiality. In some cases, the physician–patient privilege is legally protected. These practices are in place to protect the dignity of patients, and to ensure that patients feel free to reveal complete and accurate information required for them to receive the correct treatment.[22] To view the United States' laws on governing privacy of private health information, see HIPAA and the HITECH Act. The Australian law is the Privacy Act 1988 Australia as well as state-based health records legislation.

Political

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Main article: Political privacy

Political privacy has been a concern since voting systems emerged in ancient times. The secret ballot is the simplest and most widespread measure to ensure that political views are not known to anyone other than the voters themselves—it is nearly universal in modern democracy and considered to be a basic right of citizenship. In fact, even where other rights of privacy do not exist, this type of privacy very often does. There are several forms of voting fraud or privacy violations possible with the use of digital voting machines.[23]

Legality

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Main article: Information privacy law

The legal protection of the right to privacy in general – and of data privacy in particular – varies greatly around the world.[24]

Laws and regulations related to Privacy and Data Protection are constantly changing, it is seen as important to keep abreast of any changes in the law and to continually reassess compliance with data privacy and security regulations.[25] Within academia, Institutional Review Boards function to assure that adequate measures are taken to ensure both the privacy and confidentiality of human subjects in research.[26]

Privacy concerns exist wherever personally identifiable information or other sensitive information is collected, stored, used, and finally destroyed or deleted – in digital form or otherwise. Improper or non-existent disclosure control can be the root cause for privacy issues. Informed consent mechanisms including dynamic consent are important in communicating to data subjects the different uses of their personally identifiable information. Data privacy issues may arise in response to information from a wide range of sources, such as:[27]

Authorities

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Laws

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See also: Information privacy law
See also: Privacy law

Authorities by country

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See also: Information commissioner and National data protection authority

Safe Harbor program

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This section is about the previously invalidated privacy regime. For current legal standard, see EU-US Data Privacy Framework.

The United States Department of Commerce created the International Safe Harbor Privacy Principles certification program in response to the 1995 Directive on Data Protection (Directive 95/46/EC) of the European Commission.[31] Both the United States and the European Union officially state that they are committed to upholding information privacy of individuals, but the former has caused friction between the two by failing to meet the standards of the EU's stricter laws on personal data. The negotiation of the Safe Harbor program was, in part, to address this long-running issue.[32] Directive 95/46/EC declares in Chapter IV Article 25 that personal data may only be transferred from the countries in the European Economic Area to countries which provide adequate privacy protection. Historically, establishing adequacy required the creation of national laws broadly equivalent to those implemented by Directive 95/46/EU. Although there are exceptions to this blanket prohibition – for example where the disclosure to a country outside the EEA is made with the consent of the relevant individual (Article 26(1)(a)) – they are limited in practical scope. As a result, Article 25 created a legal risk to organizations which transfer personal data from Europe to the United States.

The program regulates the exchange of passenger name record information between the EU and the US. According to the EU directive, personal data may only be transferred to third countries if that country provides an adequate level of protection. Some exceptions to this rule are provided, for instance when the controller themself can guarantee that the recipient will comply with the data protection rules.

The European Commission has set up the "Working party on the Protection of Individuals with regard to the Processing of Personal Data," commonly known as the "Article 29 Working Party". The Working Party gives advice about the level of protection in the European Union and third countries.[33]

The Working Party negotiated with U.S. representatives about the protection of personal data, the Safe Harbor Principles were the result. Notwithstanding that approval, the self-assessment approach of the Safe Harbor remains controversial with a number of European privacy regulators and commentators.[34]

The Safe Harbor program addresses this issue in the following way: rather than a blanket law imposed on all organizations in the United States, a voluntary program is enforced by the Federal Trade Commission. U.S. organizations which register with this program, having self-assessed their compliance with a number of standards, are "deemed adequate" for the purposes of Article 25. Personal information can be sent to such organizations from the EEA without the sender being in breach of Article 25 or its EU national equivalents. The Safe Harbor was approved as providing adequate protection for personal data, for the purposes of Article 25(6), by the European Commission on 26 July 2000.[35]

Under the Safe Harbor, adoptee organizations need to carefully consider their compliance with the onward transfer obligations, where personal data originating in the EU is transferred to the US Safe Harbor, and then onward to a third country. The alternative compliance approach of "binding corporate rules", recommended by many EU privacy regulators, resolves this issue. In addition, any dispute arising in relation to the transfer of HR data to the US Safe Harbor must be heard by a panel of EU privacy regulators.[36]

In July 2007, a new, controversial,[37] Passenger Name Record agreement between the US and the EU was made.[38] A short time afterwards, the Bush administration gave exemption for the Department of Homeland Security, for the Arrival and Departure Information System (ADIS) and for the Automated Target System from the 1974 Privacy Act.[39]

In February 2008, Jonathan Faull, the head of the EU's Commission of Home Affairs, complained about the US bilateral policy concerning PNR.[40] The US had signed in February 2008 a memorandum of understanding (MOU) with the Czech Republic in exchange of a visa waiver scheme, without concerting before with Brussels.[37] The tensions between Washington and Brussels are mainly caused by a lesser level of data protection in the US, especially since foreigners do not benefit from the US Privacy Act of 1974. Other countries approached for bilateral MOU included the United Kingdom, Estonia, Germany and Greece.[41]

See also

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Computer science specific
Organisations
Scholars working in the field

References

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  1. ^ Uberveillance and the social implications of microchip implants : emerging technologies. Michael, M. G., Michael, Katina, 1976-. Hershey, PA. 30 September 2013. ISBN 978-1466645820. OCLC 843857020.{{cite book}}: CS1 maint: location missing publisher (link) CS1 maint: others (link)
  2. ^ Ian Austen (June 22, 2011). "Canadian Inquiry Finds Privacy Issues in Sale of Used Products at Staples". The New York Times. Retrieved 2019-05-14.
  3. ^ "System for Gathering TV Audience Rating in Real Time in Internet Protocol Television Network and Method Thereof". FreePatentsOnline.com. 2010-01-14. Retrieved 2011-06-07.
  4. ^ a b Fiveash, Kelly (2012-11-08). "Psst: Heard the one about the National Pupil Database? Thought not". The Register. Retrieved 2012-12-12.
  5. ^ "The Myth of the Average User: Improving Privacy and Security Systems through Individualization (NSPW '15) | BLUES". blues.cs.berkeley.edu. 26 August 2015. Retrieved 2016-03-11.
  6. ^ Amenu, Edwin Xorsenyo; Rajagopal, Sridaran (2024), Rajagopal, Sridaran; Popat, Kalpesh; Meva, Divyakant; Bajeja, Sunil (eds.), "Optimizing the Security and Privacy of Cloud Data Communication; Hybridizing Cryptography and Steganography Using Triple Key of AES, RSA and LSB with Deceptive QR Code Technique: A Novel Approach", Advancements in Smart Computing and Information Security, vol. 2039, Cham: Springer Nature Switzerland, pp. 291–306, doi:10.1007/978-3-031-59100-6_21, ISBN 978-3-031-59099-3, retrieved 2024-11-14
  7. ^ Bergstein, Brian (2006-06-18). "Research explores data mining, privacy". USA Today. Retrieved 2010-05-05.
  8. ^ Bergstein, Brian (2004-01-01). "In this data-mining society, privacy advocates shudder". Seattle Post-Intelligencer.
  9. ^ Swartz, Nikki (2006). "U.S. Demands Google Web Data". Information Management Journal. Archived from the original on 2014-12-19. Vol. 40 Issue 3, p. 18
  10. ^ a b Cofone, Ignacio (2023). The Privacy Fallacy: Harm and Power in the Information Economy. New York: Cambridge University Press. ISBN 9781108995443.
  11. ^ "VyprVPN Protects Your Privacy and Security | Golden Frog". www.vyprvpn.com. Retrieved 2019-04-03.
  12. ^ Schneider, G.; Evans, J.; Pinard, K.T. (2008). The Internet: Illustrated Series. Cengage Learning. p. 156. ISBN 9781423999386. Retrieved 9 May 2018.
  13. ^ Bocij, P. (2004). Cyberstalking: Harassment in the Internet Age and How to Protect Your Family. Greenwood Publishing Group. pp. 268. ISBN 9780275981181.
  14. ^ Cannataci, J.A.; Zhao, B.; Vives, G.T.; et al. (2016). Privacy, free expression and transparency: Redefining their new boundaries in the digital age. UNESCO. p. 26. ISBN 9789231001888. Retrieved 9 May 2018.
  15. ^ a b c d e Bornschein, R.; Schmidt, L.; Maier, E.; Bone, S. A.; Pappalardo, J. K.; Fitzgerald, M. P. (April 2020). "The Effect of Consumers' Perceived Power and Risk in Digital Information Privacy: The Example of Cookie Notices". Journal of Public Policy & Marketing. 39 (2): 135–154. doi:10.1177/0743915620902143. ISSN 0743-9156. S2CID 213860986.
  16. ^ Ataei, M.; Kray, C. (2016). "Ephemerality Is the New Black: A Novel Perspective on Location Data Management and Location Privacy in LBS". Progress in Location-Based Services 2016. Springer. pp. 357–374. ISBN 9783319472898. Retrieved 9 May 2018.
  17. ^ Blumberg, A. Eckersley, P. (3 August 2009). "On locational privacy and how to avoid losing it forever". EFF.{{cite web}}: CS1 maint: multiple names: authors list (link)
  18. ^ de Montjoye, Yves-Alexandre; César A. Hidalgo; Michel Verleysen; Vincent D. Blondel (March 25, 2013). "Unique in the Crowd: The privacy bounds of human mobility". Scientific Reports. 3: 1376. Bibcode:2013NatSR...3.1376D. doi:10.1038/srep01376. PMC 3607247. PMID 23524645.
  19. ^ Palmer, Jason (March 25, 2013). "Mobile location data 'present anonymity risk'". BBC News. Retrieved 12 April 2013.
  20. ^ Aurelia, Nicholas-Donald; Francisco, Matus, Jesus; SeungEui, Ryu; M, Mahmood, Adam (1 June 2017). "The Economic Effect of Privacy Breach Announcements on Stocks: A Comprehensive Empirical Investigation". Amcis 2011 Proceedings - All Submissions.{{cite journal}}: CS1 maint: multiple names: authors list (link)
  21. ^ Serenko, Natalia; Lida Fan (2013). "Patients' Perceptions of Privacy and Their Outcomes in Healthcare" (PDF). International Journal of Behavioural and Healthcare Research. 4 (2): 101–122. doi:10.1504/IJBHR.2013.057359.
  22. ^ "If a patient is below the age of 18-years does confidentiality still works or should doctor breach and inform the parents?15years girl went for... - eNotes". eNotes.
  23. ^ Zetter, Kim (2018-02-21). "The Myth of the Hacker-Proof Voting Machine". The New York Times. ISSN 0362-4331. Retrieved 2019-04-03.
  24. ^ Rakower, Lauren (2011). "Blurred Line: Zooming in on Google Street View and the Global Right to Privacy". brooklynworks.brooklaw.edu. Archived from the original on 2017-10-05.
  25. ^ Robert Hasty, Dr Trevor W. Nagel and Mariam Subjally. "Data Protection Law in the USA" (PDF). Advocates for International Development. August 2013. Archived from the original (PDF) on 2015-09-25. Retrieved 2013-10-14.
  26. ^ "Institutional Review Board - Guidebook, CHAPTER IV - CONSIDERATIONS OF RESEARCH DESIGN". www.hhs.gov. October 5, 2017. Retrieved October 5, 2017.
  27. ^ Programme Management Managing Multiple Projects Successfully. Mittal, Prashant. Global India Pubns. 2009. ISBN 978-9380228204. OCLC 464584332.{{cite book}}: CS1 maint: others (link)
  28. ^ "Data protection". 4 June 2021.
  29. ^ "Personal Data Protection Act Overview". www.pdpc.gov.sg. Archived from the original on 23 December 2017. Retrieved 20 Oct 2019.
  30. ^ Republic Act No. 10173: Data Privacy Act of 2012
  31. ^ "Protection of personal data". European Commission. Archived from the original on 16 June 2006.
  32. ^ Weiss and Archick, Martin A. and Kristin (May 19, 2016). "U.S.-EU Data Privacy: From Safe Harbor to Privacy Shield" (PDF). Congressional Research Service.
  33. ^ "EPIC – Article 29 Working Party". epic.org. Archived from the original on 15 Aug 2021. Retrieved 2021-03-20.
  34. ^ "SEC (2004) 1323: The implementation of Commission Decision 520/2000/EC on the adequate protection of personal data provided by the Safe Harbour privacy Principles and related Frequently Asked Questions issued by the US Department of Commerce" (PDF). European Commission. 20 October 2004. Archived from the original (PDF) on 24 July 2006.
  35. ^ "2000/520/EC: Commission Decision of 26 July 2000 pursuant to Directive 95/46/EC of the European Parliament and of the Council on the adequacy of the protection provided by the safe harbour privacy principles and related frequently asked questions issued by the US Department of Commerce". Official Journal of the European Union, L Series. 25 August 2000. pp. 7–47 – via Eur-Lex.
  36. ^ "Q&A on the European Data Protection Authorities Panel foreseen by the Safe Harbour Decision" (PDF). European Commission. Archived from the original (PDF) on 2006-07-24.
  37. ^ a b A divided Europe wants to protect its personal data wanted by the US, Rue 89, 4 March 2008 (in English)
  38. ^ "New EU-US PNR Agreement on the processing and transfer of Passenger Name Record (PNR) data – CHALLENGE | Liberty & Security". libertysecurity.org. Archived from the original on 12 January 2012. Retrieved 11 January 2022.{{cite web}}: CS1 maint: unfit URL (link)
  39. ^ Statewatch, US changes the privacy rules to exemption access to personal data September 2007
  40. ^ Brussels attacks new US security demands, European Observer. See also Statewatch newsletter February 2008
  41. ^ Statewatch, March 2008

Further reading

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Library resources about
Information privacy
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International
Europe
Latin America
North America
Journals
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