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Quasi-Identifier

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Encyclopedia of Cryptography and Security

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Recommended Reading

  1. Federal Committee on Statistical Methodology (1994) Report on statistical disclosure limitation methodology. Statistical policy working paper 22, Washington, DC, May 1994

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  2. Dalenius T (1986) Finding a needle in a haystack or identifying anonymous census records. J Off Stat 2(3):329–336

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  3. Golle P (2006) Revisiting the uniqueness of simple demographics in the US population. In: Proceedings of the 5th ACM Workshop on Privacy in the Electronic Society (WPES 2006), Alexandria, VA, October 2006

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Author information

Authors and Affiliations

  1. Dipartimento di Tecnologie dell’Informazione (DTI), Università degli Studi di Milano, Via Bramante 65, 26013, Crema (CR), Italy

    Sabrina de Capitani di Vimercati Prof.

  2. Dipartimento di Tecnologie dell’Informazione (DTI), Università degli Studi di Milano, Via Bramante 65, 26013, Crema (CR), Italy

    Sara Foresti Dr.

Authors
  1. Sabrina de Capitani di Vimercati Prof.
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  2. Sara Foresti Dr.
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Editor information

Editors and Affiliations

  1. Department of Mathematics and Computing Science, Eindhoven University of Technology, 5600 MB, Eindhoven, The Netherlands

    Henk C. A. van Tilborg

  2. Center for Secure Information Systems, George Mason University, Fairfax, VA, 22030-4422, USA

    Sushil Jajodia

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© 2011 Springer Science+Business Media, LLC

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Vimercati, S.d.C.d., Foresti, S. (2011). Quasi-Identifier. In: van Tilborg, H.C.A., Jajodia, S. (eds) Encyclopedia of Cryptography and Security. Springer, Boston, MA. https://doi.org/10.1007/978-1-4419-5906-5_763

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