• DocumentCode
    3243218
  • Title

    Assignment of SW using statistical based data model in SW-SDF based personal privacy with QIDB-anonymization method

  • Author

    Kiran, Pvk ; Kumar, Sahoo Subhendu ; Hemanth, S. ; Kavya, N.P.

  • Author_Institution
    Dept. of CSE, RNSIT, Bangalore, India
  • fYear
    2012
  • fDate
    6-8 Dec. 2012
  • Firstpage
    816
  • Lastpage
    821
  • Abstract
    Privacy preserving data publishing is an important direction in privacy preserving data mining which focuses on ensuring privacy of individual data when it is released for mining. SW-SDF personalized privacy preservation uses two flags SW & SDF to improve data utilization and privacy. This method also gives more privacy to record values which are actually sensitive as compared to algorithms where privacy is applied for all the records. In SW-SDF system SW is manually applied which has been improved by using statistical inference and thereby improving the system. Experimental results show that the overhead of implementing this approach is minimal and can be incorporated.
  • Keywords
    data mining; data models; data privacy; publishing; statistical analysis; QIDB-anonymization method; SDF flags; SW assignment; SW flags; SW-SDF system SW; SW-SDF-based personal privacy; data privacy; data utilization; individual data; privacy preserving data mining; privacy preserving data publishing; statistical inference; statistical-based data model; Diseases; Privacy; XML; Privacy; Privacy Preserving Data Publishing(PPDP); PrivacyPreserving Data Mining(PPDM);
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Parallel Distributed and Grid Computing (PDGC), 2012 2nd IEEE International Conference on
  • Conference_Location
    Solan
  • Print_ISBN
    978-1-4673-2922-4
  • Type

    conf

  • DOI
    10.1109/PDGC.2012.6449928
  • Filename
    6449928