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Database Privacy

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Privacy in a Digital, Networked World

Part of the book series: Computer Communications and Networks ((CCN))

Abstract

Open data is a growing demand by data analysts, companies, and the general public. Yet, when databases to be publicly released contain information on individual respondents (e.g., responses to polls, census information, healthcare records, etc.), they must be released in a way that preserves the privacy of these respondents: it should be de facto impossible to relate the published data to specific individuals. To achieve this goal, the Statistical Disclosure Control (SDC) discipline has proposed a plethora of privacy protection methods, known under a variety of names such as SDC methods, anonymization methods, or sanitization methods. This chapter provides an overview of the issues in database privacy, a survey of the best-known SDC methods, a discussion on the related data privacy/utility trade-offs, and a description of privacy models proposed by the computer science community in recent years. Some relevant freeware packages are also identified.

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Acknowledgments and Disclaimer

This work was partly supported by the Government of Catalonia under grant 2014 SGR 537, by the Spanish Government through projects TIN2011-27076-C03-01 “CO-PRIVACY” and TIN2014-57364-C2-R “SmartGlacis”, and by the European Commission under H2020 project “CLARUS”. J. Domingo-Ferrer is partially supported as an ICREA Acadèmia researcher by the Government of Catalonia. The authors are with the UNESCO Chair in Data Privacy, but they are solely responsible for the views expressed in this chapter, which do not necessarily reflect the position of UNESCO nor commit that organization.

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Authors and Affiliations

  1. Department of Computer Engineering and Mathematics, Universitat Rovira i Virgili, UNESCO Chair in Data Privacy, Av. Països Catalans 26, 43007, Tarragona, Catalonia, Spain

    Josep Domingo-Ferrer, David Sánchez & Sara Hajian

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  1. Josep Domingo-Ferrer
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  2. David Sánchez
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Correspondence to Josep Domingo-Ferrer .

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  1. University of Kentucky, Lexington, Kentucky, USA

    Sherali Zeadally

  2. Zayed University, Dubai, United Arab Emirates

    Mohamad Badra

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Domingo-Ferrer, J., Sánchez, D., Hajian, S. (2015). Database Privacy. In: Zeadally, S., Badra, M. (eds) Privacy in a Digital, Networked World. Computer Communications and Networks. Springer, Cham. https://doi.org/10.1007/978-3-319-08470-1_2

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