Please use this identifier to cite or link to this item:
|Title:||A formalization of record linkage and its application to data protection|
|Author:||Torra Reventós, Vicenç|
|Others:||Internet Interdisciplinary Institute|
|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|
|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.|
|Appears in Collections:||Articles|
Files in This Item:
There are no files associated with this item.
Items in repository are protected by copyright, with all rights reserved, unless otherwise indicated.