Abstract
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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© 2002 Springer-Verlag Berlin Heidelberg
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Branković, L., Širáň, J. (2002). 2-Compromise Usability in 1-Dimensional Statistical Databases. In: Ibarra, O.H., Zhang, L. (eds) Computing and Combinatorics. COCOON 2002. Lecture Notes in Computer Science, vol 2387. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45655-4_48
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DOI: https://doi.org/10.1007/3-540-45655-4_48
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