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Journal of Computer and System Sciences
Volume 66, Issue 1, February 2003, Pages 244-253
Special Issue on PODS 2000
 
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doi:10.1016/S0022-0000(02)00036-3    How to Cite or Link Using DOI (Opens New Window)
Copyright © 2003 Elsevier Science (USA). All rights reserved.

Auditing Boolean attributes*1

Jon KleinbergCorresponding Author Contact Information, E-mail The Corresponding Author, a, 1, Christos PapadimitriouE-mail The Corresponding Author, b, 2 and Prabhakar RaghavanE-mail The Corresponding Author, c

a Department of Computer Science, Cornell University, Ithaca, NY 14853, USA b Computer Science Division, Soda Hall, UC, Berkeley, CA 94720, USA c Verity, 892 Ross Drive, Sunnyvale, CA 94089, USA

Received 1 October 2000; 
revised 1 February 2002. 
Available online 20 February 2003.

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Abstract

We study the problem of auditing databases which support statistical sum queries to protect the security of sensitive information; we focus on the special case in which the sensitive information is Boolean. Principles and techniques developed for the security of statistical databases in the case of continuous attributes do not apply here. We prove certain strong complexity results suggesting that there is no general efficient solution for the auditing problem in this case. We propose two efficient algorithms: The first is applicable when the sum queries are one-dimensional range queries (we prove that the problem is NP-hard even in the two-dimensional case). The second is an approximate algorithm that maintains security, although it may be too restrictive. Finally, we consider a “dual” variant, with continuous data but an aggregate function that is combinatorial in nature. Specifically, we provide algorithms for two natural definitions of the auditing condition when the aggregate function is Image .

Article Outline

1. Introduction
2. Complexity
3. The one-dimensional case
4. Approximate auditing
5. Auditing Image queries
References

Journal of Computer and System Sciences
Volume 66, Issue 1, February 2003, Pages 244-253
Special Issue on PODS 2000
 
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