• DocumentCode
    2357450
  • Title

    Ranking Privacy Policy

  • Author

    Agrawal, Rajeev ; Grosky, William I. ; Fotouhi, Farshad

  • Author_Institution
    Kettering Univ., Flint
  • fYear
    2007
  • fDate
    17-20 April 2007
  • Firstpage
    192
  • Lastpage
    197
  • Abstract
    Almost all company Web sites collect some information about the user in some form. The information may be a simple IP address of the host to extensive personal information about the user. It is now a well established procedure for a company to state its privacy policy on their website, due to the prevalent laws of the land or just to establish their credibility. But the stated privacy policy may not be fully understood by Web site visitors. In this paper, we suggest a mathematical model which will assign a privacy score/rank to a privacy policy, after analyzing the different components of that company´s privacy statement. This score can be one criterion to decide whether to continue using a certain Web site.
  • Keywords
    Web sites; data privacy; IP address; Website; privacy score-rank; ranking privacy policy; Business; Code standards; Companies; Data privacy; Legislation; Monitoring; Protection; Reflection; Seals; US Government;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Data Engineering Workshop, 2007 IEEE 23rd International Conference on
  • Conference_Location
    Istanbul
  • Print_ISBN
    978-1-4244-0832-0
  • Electronic_ISBN
    978-1-4244-0832-0
  • Type

    conf

  • DOI
    10.1109/ICDEW.2007.4400991
  • Filename
    4400991