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2-Compromise Usability in 1-Dimensional Statistical Databases |
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Editor(s): Oscar H. Ibarra and Louxin Zhang |
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Lecture Notes in Computer Science |
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Many believe that data mining poses the biggest privacy challenge in the next decade. In this paper we concentrate on threats to privacy arising from the possibility of combining aggregate data to deduce the confidential individual values. We determine the maximum number of sum totals that can be disclosed without leading to a 2-compromise in a 1-dimensional database for range queries. |
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Computing and Combinatorics 8th Annual International Conference, COCOON 2002, Singapore, August 15-17, 2002 Proceedings, v.2387, p. 448-455 |
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