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How do we measure privacy?
Rebollo Monedero, David; Forné Muñoz, Jorge
Universitat Politècnica de Catalunya. Departament d'Enginyeria Telemàtica; Universitat Politècnica de Catalunya. SERTEL - Serveis Telemàtics
We survey the state of the art of privacy in perturbative methods for statistical disclosure control. While the focus is on data microaggregation, these methods also address a wide variety of alternative applications such as obfuscation in location-based services. More specifically, we examine – anonymity and some of its enhancements. Motivated by the vulnerability of these measures to similarity and skewness attacks, we compare three recent criteria for privacy based on information-theoretic concepts that attempt to circumvent this vulnerability.
Àrees temàtiques de la UPC::Enginyeria de la telecomunicació
Disclosure of information
Signal theory (Telecommunication)
Senyal, Teoria del (Telecomunicació)
Attribution-NonCommercial-NoDerivs 3.0 Spain
http://creativecommons.org/licenses/by-nc-nd/3.0/es/
info:eu-repo/semantics/publishedVersion
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