Detecting privacy violations in database publishing using disjoint queries

  • Authors:
  • Millist W. Vincent;Mukesh Mohania;Mizuho Iwaihara

  • Affiliations:
  • University of South Australia, Adelaide, Australia;IBM India Research Laboratory, New Delhi, India;Kyoto University, Kyoto, Japan

  • Venue:
  • Proceedings of the 12th International Conference on Extending Database Technology: Advances in Database Technology
  • Year:
  • 2009

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Abstract

We present a new method of detecting privacy violations in the context of database publishing. Our method defines a published view V to preserve the privacy of a secret query Q if V and Q return no tuples in common, over all possible database instances. We then establish necessary and sufficient conditions that characterize when V preserves the privacy of Q in terms of the projected inequalities in the queries, both for conjunctive queries and queries with negation. We also show that integrity constraints have an effect on privacy, and derive a test for ensuring privacy preservation in the presence of FD constraints. The issue of privacy preservation in the presence of multiple views is investigated, and we show that it can reduced to the single view case for a suitably chosen view.