In this paper, disclosure risk assessment in Statistical Databases is performed by means of a probabilistic approach; in particular, we consider the problem of auditing databases that support statistical sum/count/mean/max/min queries to protect the privacy of sensitive boolean data. We provide both a theoretical framework for evaluating the disclosure risk and a tool for its control and management.
A probabilistic approach for disclosure risk assessment in statistical databases / Cavallo, B., Canfora, G.. - In: QUALITY & QUANTITY. - ISSN 0033-5177. - 50:2(2016), pp. 729-749. [10.1007/s11135-015-0173-5]
A probabilistic approach for disclosure risk assessment in statistical databases
CAVALLO, BICE
;
2016
Abstract
In this paper, disclosure risk assessment in Statistical Databases is performed by means of a probabilistic approach; in particular, we consider the problem of auditing databases that support statistical sum/count/mean/max/min queries to protect the privacy of sensitive boolean data. We provide both a theoretical framework for evaluating the disclosure risk and a tool for its control and management.File in questo prodotto:
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