The Center for Education and Research in Information Assurance and Security (CERIAS)

The Center for Education and Research in
Information Assurance and Security (CERIAS)
Center for Education and Research in Information Assurance and Security

Protecting Against Data Mining through Samples

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Author

Christopher Clifton

Tech report number

CERIAS TR 2001-96

Entry type

conference

Abstract

Data mining introduces new problems in database security. The basic problem of using non-sensitive data to infer sensitive data is made more difficult by the “probabilistic” inferences possible with data mining. This paper shows how lower bounds from pattern recognition theory can be used to determine sample sizes where data mining tools cannot obtain reliable results.

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Date

1999 – 07

URL

http://www.msci.memphis.edu/~l ... pers/Clifton99Protect.pdf

Key alpha

Clifton

Note

Thirteenth Annual IFIP WG 11.3 Working Conference on Database Security July 26-28, 1999 in Seattle, WA Expanded version invited for submission to Journal of Computer Security, IOS Press

Publication Date

2001-07-01

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