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ABSTRACT
We study a number of protection schemes with respect to their effectiveness in providing security for statistical data bases, their feasibility and their ease of implementation. A new method is proposed, and two implementations presented. One implementation guarantees perfect protection against leakage of information about individuals; the other requires very little implementation effort, but has a small probability of leakage.
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Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.
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[doi> 10.1145/320455.320457]
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CITED BY 27
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Claus Boyens , Oliver Günther , Maximilian Teltzrow, Privacy conflicts in CRM services for online shops: a case study, Proceedings of the IEEE international conference on Privacy, security and data mining, p.27-35, December 01, 2002, Maebashi City, Japan
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Rakesh Agrawal , Jerry Kiernan , Ramakrishnan Srikant , Yirong Xu, Hippocratic databases, Proceedings of the 28th international conference on Very Large Data Bases, p.143-154, August 20-23, 2002, Hong Kong, China
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Vangalur S. Alagar , Bernard Blanchard , David Glaser, Effective inference control mechanisms for securing statistical databases, Proceedings of the May 4-7, 1981, national computer conference, May 04-07, 1981, Chicago, Illinois
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