• DocumentCode
    260891
  • Title

    Privacy preserving data mining techniques-survey

  • Author

    Dhanalakshmi, M. ; Sankari, E. Siva

  • Author_Institution
    CSE Gov. Coll. of Eng., Tirunelveli, India
  • fYear
    2014
  • fDate
    27-28 Feb. 2014
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    Privacy preserving is one of the most important research topics in the data security field and it has become a serious concern in the secure transformation of personal data in recent years. A number of algorithmic techniques have been designed for Privacy Preserving Data Mining (PPDM). It is used to efficiently protect individual privacy in data sharing. Thus, the various models have been designed for privacy preserving data sharing. In this paper, various privacy preserving approaches in data sharing and their merits and demerits are analyzed.
  • Keywords
    data mining; data privacy; PPDM; algorithmic techniques; data security; data sharing; privacy preserving data mining; privacy protection; Biological system modeling; Computational modeling; Data models; Data privacy; Privacy; Protocols; Data sharing; Privacy Preserving; Privacy preserving approaches;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Communication and Embedded Systems (ICICES), 2014 International Conference on
  • Conference_Location
    Chennai
  • Print_ISBN
    978-1-4799-3835-3
  • Type

    conf

  • DOI
    10.1109/ICICES.2014.7033869
  • Filename
    7033869