• DocumentCode
    2777674
  • Title

    An Ontological Study of Data Purpose for Privacy Policy Enforcement

  • Author

    Chen, Shan ; Williams, Mary-Anne

  • Author_Institution
    Centre for Quantum Comput. & Intell. Syst., Univ. of Technol., Sydney, NSW, Australia
  • fYear
    2011
  • fDate
    9-11 Oct. 2011
  • Firstpage
    1208
  • Lastpage
    1213
  • Abstract
    Data purpose is a central concept in modeling privacy requirements. Existing purpose-based approaches for privacy protection have mainly focused on access control. The problem of ensuring the consistency between data purpose and data usage has been under-addressed. In an attempt to bridge this research gap, we develop a grounded understanding of data purpose and relevant key concepts that is fundamental to address the problem. We propose a Minimum Action Permission Principle as a basic guideline to establish a path to solutions to the consistency problem for privacy management.
  • Keywords
    data privacy; ontologies (artificial intelligence); data purpose; minimum action permission principle; ontological study; privacy management; privacy policy enforcement; privacy protection; privacy requirements; Access control; Data models; Data privacy; Equations; Licenses; Privacy; Vehicles;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Privacy, Security, Risk and Trust (PASSAT) and 2011 IEEE Third Inernational Conference on Social Computing (SocialCom), 2011 IEEE Third International Conference on
  • Conference_Location
    Boston, MA
  • Print_ISBN
    978-1-4577-1931-8
  • Type

    conf

  • DOI
    10.1109/PASSAT/SocialCom.2011.128
  • Filename
    6113283