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dc.contributor.authorNin Guerrero, Jordi
dc.contributor.authorHerranz Sotoca, Javier
dc.contributor.authorTorra i Reventós, Vicenç
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament d'Arquitectura de Computadors
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament de Matemàtica Aplicada IV
dc.identifier.citationNin, J.; Herranz, J.; Torra, V. On the disclosure risk of multivariate microaggregation. "Data and knowledge engineering", 22 Juliol 2008, vol. 67, núm. 3, p. 399-412.
dc.description.abstractThe aim of data protection methods is to protect a microdata file both minimizing the disclosure risk and preserving the data utility. Microaggregation is one of the most popular such methods among statistical agencies. Record linkage is the standard mechanism used to measure the disclosure risk of a microdata protection method. However, only standard, and quite generic, record linkage methods are usually considered, whereas more specific record linkage techniques can be more appropriate to evaluate the disclosure risk of some protection methods. In this paper we present a new record linkage technique, specific for microaggregation, which obtains more correct links than standard techniques. We have tested the new technique with MDAV microaggregation and two other microaggregation methods, based on projections, that we propose here for the first time. The direct consequence is that these microaggregation methods have a higher disclosure risk than believed up to now.
dc.format.extent14 p.
dc.publisherElsevier Science Ltd.
dc.subjectÀrees temàtiques de la UPC::Informàtica::Seguretat informàtica
dc.subject.lcshData protection
dc.subject.otherPrivacy in statistical databases
dc.subject.otherDisclosure risk
dc.subject.otherRecord linkage
dc.titleOn the disclosure risk of multivariate microaggregation
dc.subject.lemacProtecció de dades
dc.contributor.groupUniversitat Politècnica de Catalunya. MAK - Matemàtica Aplicada a la Criptografia
dc.rights.accessRestricted access - publisher's policy
dc.description.versionPostprint (published version)
upcommons.citation.authorNin, J.; Herranz, J.; Torra, V.
upcommons.citation.publicationNameData and knowledge engineering

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