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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.date.accessioned2012-07-13T07:56:15Z
dc.date.available2012-07-13T07:56:15Z
dc.date.created2007
dc.date.issued2007
dc.identifier.citationNin, J.; Herranz, J.; Torra, V. On method-specific record linkage for risk assessment. A: Joint UNECE/Eurostat Work Session on Statistical Data Confidentiality. "Proceedings of the Joint UNECE/Eurostat work session on statistical data confidentiality". Manchester: 2007, p. 1-12.
dc.identifier.urihttp://hdl.handle.net/2117/16248
dc.description.abstractNowadays, the need for privacy motivates the use of methods that permit us to protect a microdata file both minimizing the disclosure risk and preserving the statistical utility. Nevertheless, research is usually focused on how data utility is preserved, and much less research effort is dedicated to the study of the tools that an intruder might use to compromise the privacy of the data or, in other words, to increase the disclosure risk. Record linkage is a standard mechanism used to measure the disclosure risk of a microdata protection method. In this paper we present some improvements for the (standard) distance based record linkage. In particular, we test our improvements to evaluate the disclosure risk of rank swapping, which is higher than what was believed up to now. We will also present the results of the application of this approach to microaggregation.
dc.format.extent12 p.
dc.language.isoeng
dc.subjectÀrees temàtiques de la UPC::Informàtica::Seguretat informàtica
dc.subject.lcshComputer security
dc.subject.lcshData protection
dc.subject.otherStatistical data privacy
dc.subject.otherRecord linkage
dc.subject.otherDisclosure risk
dc.titleOn method-specific record linkage for risk assessment
dc.typeConference report
dc.subject.lemacSeguretat informàtica
dc.subject.lemacProtecció de dades
dc.contributor.groupUniversitat Politècnica de Catalunya. DMAG - Grup d'Aplicacions Multimèdia Distribuïdes
dc.contributor.groupUniversitat Politècnica de Catalunya. MAK - Matemàtica Aplicada a la Criptografia
dc.identifier.doi10.2901/Eurostat.C2007.004
dc.rights.accessOpen Access
local.identifier.drac5736637
dc.description.versionPostprint (author’s final draft)
local.citation.authorNin, J.; Herranz, J.; Torra, V.
local.citation.contributorJoint UNECE/Eurostat Work Session on Statistical Data Confidentiality
local.citation.pubplaceManchester
local.citation.publicationNameProceedings of the Joint UNECE/Eurostat work session on statistical data confidentiality
local.citation.startingPage1
local.citation.endingPage12


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