• DocumentCode
    2424812
  • Title

    A collaborative approach for identifying privacy disclosure in Web-based services

  • Author

    Gao, Feng ; He, Jingsha ; Ma, Shunan

  • Author_Institution
    Coll. of Comput. Sci. & Technol., Beijing Univ. of Technol., Beijing, China
  • fYear
    2010
  • fDate
    13-15 Dec. 2010
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    Nowadays, abundance of Web applications offers flexible and convenient services for users. Although almost all Web sites have their own privacy policies and declare that they won´t disclose users´ privacy without their consent, users may still receive spam messages after they register or interact with some sites. Obviously, commercial interests can drive some sites to disclose users´ privacy such as email addresses to third parties. In this paper, we propose a collaborative method to identify Web sites that disclose users´ privacy by using a privacy disclosure finding protocol inspired from secure multiparty computation (SMC). The advantages of our method are that the method can identify privacy disclosure sites while preserving volunteers´ privacy and that the method uses a collaborative approach without relying on a trusted third party which makes it practical in the reality of Web based services.
  • Keywords
    Web services; Web sites; data privacy; groupware; unsolicited e-mail; Web applications; Web sites; Web-based services; collaborative approach; email addresses; privacy disclosure identification; privacy disclosure sites; secure multiparty computation; spam messages; Web-based services; collaboration; privacy disclosure; secure multiparty computation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Service-Oriented Computing and Applications (SOCA), 2010 IEEE International Conference on
  • Conference_Location
    Perth, WA
  • Print_ISBN
    978-1-4244-9802-4
  • Type

    conf

  • DOI
    10.1109/SOCA.2010.5707176
  • Filename
    5707176