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Mar. 4, 2008 to Mar. 7, 2008
ISBN: 978-0-7695-3102-1
pp: 1020-1027
ABSTRACT
In this paper we consider the on-line max query auditing problem: given a private association between fields in a data set, a sequence of max queries that have already been posed about the data, their corresponding answers and a new query, deny the answer if a private information is inferred or give the true answer otherwise. We give a probabilistic definition of privacy and demonstrate that max queries can be audited in a simulatable paradigm by means of a Bayesian network. Moreover, we show how our auditing approach is able to manage user prior-knowledge.
INDEX TERMS
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CITATION
Gerardo Canfora, Bice Cavallo, "A Bayesian Approach for on-Line Max Auditing", ARES, 2008, 2012 Seventh International Conference on Availability, Reliability and Security, 2012 Seventh International Conference on Availability, Reliability and Security 2008, pp. 1020-1027, doi:10.1109/ARES.2008.94
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