Privacy Protection: p-Sensitive k-Anonymity Property

  • Authors:
  • Traian Marius Truta;Bindu Vinay

  • Affiliations:
  • Northern Kentucky University;Northern Kentuck University

  • Venue:
  • ICDEW '06 Proceedings of the 22nd International Conference on Data Engineering Workshops
  • Year:
  • 2006

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Abstract

In this paper, we introduce a new privacy protection property called p-sensitive k-anonymity. The existing kanonymity property protects against identity disclosure, but it fails to protect against attribute disclosure. The new introduced privacy model avoids this shortcoming. Two necessary conditions to achieve p-sensitive kanonymity property are presented, and used in developing algorithms to create masked microdata with p-sensitive k-anonymity property using generalization and suppression.