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Privacy Preserving Serial Data Publishing By Role Composition

Authors Bu, Yingyi
Fu, Adawaichee
Wong, Raymond Chi Wing View this author's profile
Chen, Lei View this author's profile
Li, Jiuyong
Issue Date 2008
Source Proceedings of the VLDB Endowment , v.1, (1). 2008, August, Pages 845-856
Summary Previous works about privacy preserving serial data publishing on dynamic databases have relied on unrealistic assumptions of the nature of dynamic databases. In many applications, some sensitive values changes freely while others never change. For example, in medical applications, the disease attribute changes with time when patients recover from one disease and develop another disease. However, patients do not recover from some diseases such as HIV. We call such diseases permanent sensitive values. To the best of our knowledge, none of the existing solutions handle these realistic issues. We propose a novel anonymization approach called HD-composition to solve the above problems. Extensive experiments with real data confirm our theoretical results.
ISSN 2150-8097
Rights © ACM, 2008. This is the author's version of the work. It is posted here by permission of ACM for your personal use. Not for redistribution. The definitive version was published in Proceedings of the VLDB Endowment, v. 1, issue 1, August 2008, p. 845-856.
Language English
Format Article
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