Worst-case background knowledge for privacy-preserving data publishing

David J. Martin, Daniel Kifer, Ashwin Machanavajjhala, Johannes Gehrke, Joseph Y. Halpern

Research output: Chapter in Book/Report/Conference proceedingConference contribution

154 Scopus citations

Abstract

Recent work has shown the necessity of considering an attacker's background knowledge when reasoning about privacy in data publishing. However, in practice, the data publisher does not know what background knowledge the attacker possesses. Thus, it is important to consider the worst-case. In this paper, we initiate a formal study of worst-case background knowledge. We propose a language that can express any background knowledge about the data. We provide a polynomial time algorithm to measure the amount of disclosure of sensitive information in the worst case, given that the attacker has at most k pieces of information in this language. We also provide a method to efficiently sanitize the data so that the amount of disclosure in the worst case is less than a specified threshold.

Original languageEnglish (US)
Title of host publication23rd International Conference on Data Engineering, ICDE 2007
Pages126-135
Number of pages10
DOIs
StatePublished - Sep 24 2007
Event23rd International Conference on Data Engineering, ICDE 2007 - Istanbul, Turkey
Duration: Apr 15 2007Apr 20 2007

Publication series

NameProceedings - International Conference on Data Engineering
ISSN (Print)1084-4627

Other

Other23rd International Conference on Data Engineering, ICDE 2007
CountryTurkey
CityIstanbul
Period4/15/074/20/07

All Science Journal Classification (ASJC) codes

  • Software
  • Signal Processing
  • Information Systems

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  • Cite this

    Martin, D. J., Kifer, D., Machanavajjhala, A., Gehrke, J., & Halpern, J. Y. (2007). Worst-case background knowledge for privacy-preserving data publishing. In 23rd International Conference on Data Engineering, ICDE 2007 (pp. 126-135). [4221661] (Proceedings - International Conference on Data Engineering). https://doi.org/10.1109/ICDE.2007.367858