• DocumentCode
    3504840
  • Title

    A method of Enhanced t - Closeness for privacy protection

  • Author

    Song Yang ; Li Lijie ; Zhang Jianpei ; Yang Jing

  • Author_Institution
    Coll. of Comput. Sci. & Technol., Harbin Eng. Univ., Harbin, China
  • Volume
    02
  • fYear
    2013
  • fDate
    16-18 Aug. 2013
  • Firstpage
    1491
  • Lastpage
    1494
  • Abstract
    For t-Closeness which did not give a specific algorithm, and the semantic privacy can´t custom question, on the basis of model of t-Closeness and enhanced k-anonymity technology, Enhanced t-closeness privacy protection method is proposed in this paper, gives a semantic privacy degree measure and specific implementation of the algorithm. This article gives two specific algorithms: a top-down approach and a method based on the genetic classification. Using this method can enhance the ability of resistance similar to sexual assault, effectively prevent privacy leaks, and ensure the availability of the data quality.
  • Keywords
    data protection; genetic algorithms; pattern classification; data privacy protection; data quality; enhanced T-closeness method; enhanced k-anonymity technology; enhanced t-closeness privacy protection method; genetic classification; semantic privacy degree measure; top-down approach; Classification algorithms; Measurement; Semantics; Sociology; Statistics; (t, a)-closeness; privacy protection; t-closeness;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Measurement, Information and Control (ICMIC), 2013 International Conference on
  • Conference_Location
    Harbin
  • Print_ISBN
    978-1-4799-1390-9
  • Type

    conf

  • DOI
    10.1109/MIC.2013.6758241
  • Filename
    6758241