Security-control methods for statistical databases: a comparative study
ACM Computing Surveys (CSUR)
Relative compromise of statistical databases
Australian Computer Journal
Statistical and scientific databases
Statistical and scientific databases
Auditing and Inference Control in Statistical Databases
IEEE Transactions on Software Engineering
Cooperation with geographic databases
Multidimensional databases
Cardinality-based inference control in data cubes
Journal of Computer Security
Parity-based inference control for multi-dimensional range sum queries
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VICUS: a noise addition technique for categorical data
AusDM '12 Proceedings of the Tenth Australasian Data Mining Conference - Volume 134
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The usability of a statistical database is defined to be the ratio of the cardinality of the largest set of queries which can be answered without compromise to the total number of queries. In this paper, we present new results concerning the usability of secure statistical databases for general SUM, COUNT and MEAN queries, as well as for the corresponding range queries. We give the usability of these k-dimensional databases for all k/spl ges/1. The paper concludes with a discussion of the implications of our results.