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A probabilistic approach for disclosure risk assessment in Statistical Databases by Bice Cavallo and Gerardo Canfora

pubblicato 3 feb 2015, 13:32 da Gerardo Canfora   [ aggiornato in data 19 feb 2016, 10:34 ]
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.
Quality & Quantity (2016) 50:729-749
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Q&Q-2015.pdf
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Gerardo Canfora,
3 feb 2015, 13:34
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