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http://hdl.handle.net/10609/109857
Title: A formalization of record linkage and its application to data protection
Author: Torra Reventós, Vicenç
Stokes, Klara
Others: Internet Interdisciplinary Institute
Keywords: Re-identification
Record linkage
k-anonymity
Belief functions
Issue Date: 2-Dec-2012
Publisher: International Journal of Uncertainty, Fuzziness and Knowlege-Based Systems
Citation: Torra, V. & Stokes, K. (2012). A formalization of record linkage and its application to data protection. International Journal of Uncertainty, Fuzziness and Knowlege-Based Systems, 20(6), 907-919. doi: 10.1142/S0218488512400302
Also see: https://www.worldscientific.com/doi/abs/10.1142/S0218488512400302
Abstract: Re-identification and record linkage are tools used to measure disclosure risk in data privacy. Given two data files, record linkage establishes links between those records that correspond to the same individual. These links are often expressed in terms of probability distributions. This paper presents a review of a formalization of re-identification in terms of compatible belief functions. This formalization makes it possible to define the set of methods for re-identification that are relevant for the estimation of disclosure risk in privacy protection. Any re-identification method that does not fulfill the criteria for being in this set, may be discarded in a theoretical disclosure risk analysis. The focus in this paper is on providing examples of how this formalization can be applied in a few different scenarios in data privacy.
Language: English
URI: http://hdl.handle.net/10609/109857
ISSN: 0218-4885MIAR
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