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Papers on “digital surveillance privacy rights data protection”

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1. Decentralizing Privacy: Using Blockchain to Protect Personal Data

   Guy Zyskind, Oz Nathan, Alex Pentland · 2015 · 2,575 cites

   The recent increase in reported incidents of surveillance and security breaches compromising users' privacy call into question the current model, in which third-parties collect and control massive amounts of personal data. Bit coin has demonstrated in the financial space that trusted, auditable computing is possible using a decentralized network of peers accompanied by a public ledger. In this paper, we describe a decentralized personal data management system that ensures users own and control their data. We implement a protocol that turns a block chain into an automated access-control manager that does not require trust in a third party. Unlike Bit coin, transactions in our system are not s

2. Digital Economics

   Avi Goldfarb, Catherine E. Tucker · 2019 · Journal of Economic Literature · 2,550 cites

   Digital technology is the representation of information in bits. This technology has reduced the cost of storage, computation, and transmission of data. Research on digital economics examines whether and how digital technology changes economic activity. In this review, we emphasize the reduction in five distinct economic costs associated with digital economic activity: search costs, replication costs, transportation costs, tracking costs, and verification costs. (JEL D24, D83, L86, O33, R41)

3. Privacy-preserving data publishing

   Benjamin C. M. Fung, Ke Wang, Rui Chen, et al. · 2010 · ACM Computing Surveys · 1,652 cites

   The collection of digital information by governments, corporations, and individuals has created tremendous opportunities for knowledge- and information-based decision making. Driven by mutual benefits, or by regulations that require certain data to be published, there is a demand for the exchange and publication of data among various parties. Data in its original form, however, typically contains sensitive information about individuals, and publishing such data will violate individual privacy. The current practice in data publishing relies mainly on policies and guidelines as to what types of data can be published and on agreements on the use of published data. This approach alone may lead t

4. Privacy in the Digital Age: a Review of Information Privacy Research in Information Systems1

   Bélanger, Robert E. Crossler · 2011 · MIS Quarterly · 1,345 cites

   Information privacy refers to the desire of individuals to control or have some influence over data about themselves. Advances in information technology have raised concerns about information privacy and its impacts, and have motivated Information Systems researchers to explore information privacy issues, including technical solutions to address these concerns. In this paper, we inform researchers about the current state of information privacy research in IS through a critical analysis of the IS literature that considers information privacy as a key construct. The review of the literature reveals that information privacy is a multilevel concept, but rarely studied as such. We also find that

5. Digital technologies in the public-health response to COVID-19

   Jobie Budd, Benjamin S. Miller, Erin Manning, et al. · 2020 · Nature Medicine · 1,269 cites

6. Big Data Surveillance: The Case of Policing

   Sarah Brayne · 2017 · American Sociological Review · 857 cites

   This article examines the intersection of two structural developments: the growth of surveillance and the rise of "big data." Drawing on observations and interviews conducted within the Los Angeles Police Department, I offer an empirical account of how the adoption of big data analytics does-and does not-transform police surveillance practices. I argue that the adoption of big data analytics facilitates amplifications of prior surveillance practices and fundamental transformations in surveillance activities. First, discretionary assessments of risk are supplemented and quantified using risk scores. Second, data are used for predictive, rather than reactive or explanatory, purposes. Third, th

7. What is data justice? The case for connecting digital rights and freedoms globally

   Linnet Taylor · 2017 · Big Data & Society · 792 cites

   The increasing availability of digital data reflecting economic and human development, and in particular the availability of data emitted as a by-product of people’s use of technological devices and services, has both political and practical implications for the way people are seen and treated by the state and by the private sector. Yet the data revolution is so far primarily a technical one: the power of data to sort, categorise and intervene has not yet been explicitly connected to a social justice agenda by the agencies and authorities involved. Meanwhile, although data-driven discrimination is advancing at a similar pace to data processing technologies, awareness and mechanisms for comba

8. Information Security in Big Data: Privacy and Data Mining

   Lei Xu, Chunxiao Jiang, Jian Wang, et al. · 2014 · IEEE Access · 631 cites

   The growing popularity and development of data mining technologies bring serious threat to the security of individual,'s sensitive information. An emerging research topic in data mining, known as privacy-preserving data mining (PPDM), has been extensively studied in recent years. The basic idea of PPDM is to modify the data in such a way so as to perform data mining algorithms effectively without compromising the security of sensitive information contained in the data. Current studies of PPDM mainly focus on how to reduce the privacy risk brought by data mining operations, while in fact, unwanted disclosure of sensitive information may also happen in the process of data collecting, data publ