• DocumentCode
    2973956
  • Title

    Probabilistic Internal Privacy Intrusion Detection

  • Author

    An, Xiangdong ; Jutla, Dawn ; Cercone, Nick

  • Author_Institution
    Dept. of Finance, Inf. Syst., & Manage. Sci., Saint Mary´´s Univ., Halifax, NS
  • fYear
    2006
  • fDate
    Dec. 2006
  • Firstpage
    317
  • Lastpage
    318
  • Abstract
    Many organizations need to maintain a lot of private data to run their businesses. Private data could be violated by both the inside and the outside intruders. In this paper, we propose a probabilistic method to detect insider privacy intrusion in database systems
  • Keywords
    belief networks; data privacy; database management systems; statistical distributions; Bayesian networks; database systems; insider privacy intrusion; private data; probabilistic BN internal privacy intrusion detection; probabilistic method; Bayesian methods; Computer science; Data privacy; Database systems; Employee rights; Finance; Frequency; Intrusion detection; Protection; Spatial databases;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Database Engineering and Applications Symposium, 2006. IDEAS '06. 10th International
  • Conference_Location
    Delhi
  • ISSN
    1098-8068
  • Print_ISBN
    0-7695-2577-6
  • Type

    conf

  • DOI
    10.1109/IDEAS.2006.38
  • Filename
    4041641
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2973956