Towards a more realistic disclosure risk assessment

Jordi Nin, Javier Herranz, Vicenç Torra

Producció científica: Capítol de llibreContribució a congrés/conferènciaAvaluat per experts

2 Cites (Scopus)


The score was introduced in 2001 in order to compare different perturbative methods for statistical database protection. It measures the trade-off between utility (information loss) and privacy (disclosure risk of the released data). Since its introduction, the score has been widely accepted and used in the statistical database community. In particular, some methods are sometimes prefered to others depending on the obtained results in the original computation of the score. In this paper we argue that some original aspects of the score computation, specially those related to the disclosure risk, should be revisited. Informally, the reason is that they do not consider the best possible situation for the intruder, and so they do not measure the real level of privacy. We add some experimental results which support our claims. More importantly, we propose some modifications which can/should lead in the future to a more fair, realistic and useful computation of the score.

Idioma originalAnglès
Títol de la publicacióPrivacy in Statistical Databases - UNESCO Chair in Data Privacy International Conference, PSD 2008, Proceedings
EditorSpringer Verlag
Nombre de pàgines14
ISBN (imprès)3540874704, 9783540874706
Estat de la publicacióPublicada - 2008
Publicat externament
EsdevenimentInternational Conference on Privacy in Statistical Databases, PSD 2008 - Istanbul, Turkey
Durada: 24 de set. 200826 de set. 2008

Sèrie de publicacions

NomLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volum5262 LNCS
ISSN (imprès)0302-9743
ISSN (electrònic)1611-3349


ConferènciaInternational Conference on Privacy in Statistical Databases, PSD 2008


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