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A Review of Attribute Disclosure Control

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Advanced Research in Data Privacy

Part of the book series: Studies in Computational Intelligence ((SCI,volume 567))

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Abstract

Attribute disclosure occurs when the adversary can infer some sensitive information about an individual without identifying individual’s record in the published data set. To address this issue several privacy models were proposed with the goal of increasing the uncertainty of the adversary in deriving sensitive information from published data. In this chapter, firstly we review the underlying scenario used in statistical disclosure control (SDC) and Privacy-Preserving Data Mining (PPDM). In this chapter, we describe the attribute disclosure underlying scenario, the different forms of background knowledge of the adversary the adversary may have and their potential privacy attacks. then, we review the approaches introduced in the literature to tackle attribute disclosure attacks.

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Notes

  1. 1.

    We define an equivalence class of an anonymized table to be a set of records that have the same values for the non-confidential quasi-identifiers.

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Acknowledgments

This work is partially supported by the Ministry of Science and Technology of Spain under contract TIN2012-34557 and by the BSC-CNS Severo Ochoa program (SEV-2011-00067). The authors also acknowledge the support of the Natural Sciences and Engineering Research Council of Canada for this work.

Author information

Authors and Affiliations

  1. Faculty of Computer Science, Dalhousie University, Halifax, Canada

    Stan Matwin

  2. Institute for Computer Science, Polish Academy of Sciences, Warsaw, Poland

    Stan Matwin

  3. Barcelona Supercomputing Center (BSC), Universitat Politècnica de Catalunya (BarcelonaTech), Barcelona, Catalonia, Spain

    Jordi Nin

  4. School of Electrical Engineering and Computer Science, University of Ottawa, Ottawa, Ontario, Canada

    Morvarid Sehatkar

  5. Division of Decision Analysis and Support, Warsaw School of Economics, Warsaw, Poland

    Tomasz Szapiro

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  1. Stan Matwin
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  2. Jordi Nin
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  4. Tomasz Szapiro
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Correspondence to Jordi Nin .

Editor information

Editors and Affiliations

  1. Department of Information and Communications Engineering, Universitat Autonoma de Barcelona, Catalonia, Spain

    Guillermo Navarro-Arribas

  2. Consejo Superior de Investigaciones Científicas Campus de la UAB, Institut d'Investigació en Intel·ligència Artificial, Catalonia, Spain

    Vicenç Torra

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Matwin, S., Nin, J., Sehatkar, M., Szapiro, T. (2015). A Review of Attribute Disclosure Control. In: Navarro-Arribas, G., Torra, V. (eds) Advanced Research in Data Privacy. Studies in Computational Intelligence, vol 567. Springer, Cham. https://doi.org/10.1007/978-3-319-09885-2_4

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  • DOI: https://doi.org/10.1007/978-3-319-09885-2_4

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