AN OVERVIEW OF p-SENSITIVE k-ANONYMITY MODELS FOR MICRODATA ANONYMIZATION

作者:Truta Traian Marius*; Campan Alina; Sun Xiaoxun
来源:International Journal of Uncertainty Fuzziness and Knowledge-Based Systems, 2012, 20(6): 819-837.
DOI:10.1142/S0218488512400259

摘要

In this paper, we present an overview of p-sensitive k-anonymity models including the basic model, the extended p-sensitive k-anonymity, the constrained p-sensitive k-anonymity, and the (p(+), alpha)-sensitive k-anonymity. Existing properties of these models are reviewed and illustrated, and new properties regarding the maximum number of QI-clusters are discussed and proved. This paper includes a review of related anonymity models and a very brief summary of existing algorithms for the family of p-sensitive k-anonymity models.

  • 出版日期2012-12