TY - GEN
T1 - Towards a more realistic disclosure risk assessment
AU - Nin, J.
AU - Herranz, Javier
AU - Torra, Vicenç
PY - 2008
Y1 - 2008
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=56749096471&partnerID=8YFLogxK
U2 - 10.1007/978-3-540-87471-3_13
DO - 10.1007/978-3-540-87471-3_13
M3 - Conference contribution
AN - SCOPUS:56749096471
SN - 3540874704
SN - 9783540874706
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 152
EP - 165
BT - Privacy in Statistical Databases - UNESCO Chair in Data Privacy International Conference, PSD 2008, Proceedings
PB - Springer Verlag
T2 - International Conference on Privacy in Statistical Databases, PSD 2008
Y2 - 24 September 2008 through 26 September 2008
ER -