• DocumentCode
    1934894
  • Title

    A Proposal Towards Customers´ Privacy Preference Policy

  • Author

    Wei, Ran ; Zhan, Justin

  • Author_Institution
    Carnegie Mellon CyLab Japan, Kobe
  • Volume
    5
  • fYear
    2007
  • fDate
    19-22 Aug. 2007
  • Firstpage
    3022
  • Lastpage
    3027
  • Abstract
    Increasingly, companies hold more and more data about their customers. This data is seen as useful for the company, although often customers do not wish to share their personal data. Methods such as P3P for verifying a company´s privacy policy are available, however, they do not provide much choice to the customer, and they provide an all-or-nothing approach. We explore the privacy preference policy approach which attempts to align the privacy preferences of the individual with that of a company. We further critique this method and develop it to incorporate levels of importance and priority.
  • Keywords
    data privacy; security of data; customer privacy preference policy; personal data; Books; Companies; Cybernetics; Data privacy; Internet; Law; Machine learning; Proposals; Protection; Radio access networks; Critical information; Privacy preference policy (PPP); Sensitive information;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Machine Learning and Cybernetics, 2007 International Conference on
  • Conference_Location
    Hong Kong
  • Print_ISBN
    978-1-4244-0973-0
  • Electronic_ISBN
    978-1-4244-0973-0
  • Type

    conf

  • DOI
    10.1109/ICMLC.2007.4370666
  • Filename
    4370666