• DocumentCode
    2020766
  • Title

    A privacy policy model for enterprises

  • Author

    Karjoth, Günter ; Schunter, Matthias

  • Author_Institution
    Res. Lab., IBM Res., Zurich, Switzerland
  • fYear
    2002
  • fDate
    2002
  • Firstpage
    271
  • Lastpage
    281
  • Abstract
    Privacy is an increasing concern in the marketplace. Although enterprises promise sound privacy practices to their customers, there is no technical mechanism to enforce them internally In this paper we describe a privacy policy model that protects personal data from privacy violations by means of enforcing enterprise-wide privacy, policies. By extending Jajodia et al.´s flexible authorization framework (FAF) with grantors and obligations, we create a privacy control language that includes user consent, obligations, and distributed administration. Conditions impose restrictions on the use of the collected data, such as modeling guardian consent and options. Access decisions are extended with obligations, which list a set of activities that must be executed together with the access request. Grantors allow to define a separation of duty between the security officer and the privacy officer.
  • Keywords
    authorisation; data privacy; enterprises; flexible authorization framework; grantors; obligations; privacy control language; privacy policy model; technical mechanism; Access control; Authorization; Data privacy; Data security; Electronic commerce; Information security; Laboratories; Large-scale systems; Natural languages; Protection;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Security Foundations Workshop, 2002. Proceedings. 15th IEEE
  • ISSN
    1063-6900
  • Print_ISBN
    0-7695-1689-0
  • Type

    conf

  • DOI
    10.1109/CSFW.2002.1021821
  • Filename
    1021821