• DocumentCode
    593760
  • Title

    L2TAP+SCIP: An audit-based privacy framework leveraging Linked Data

  • Author

    Samavi, Reza ; Consens, M.P.

  • Author_Institution
    Inf. Eng., Univ. of Toronto, Toronto, ON, Canada
  • fYear
    2012
  • fDate
    14-17 Oct. 2012
  • Firstpage
    719
  • Lastpage
    726
  • Abstract
    We describe a framework designed to facilitate privacy auditing while accommodating a variety of privacy scenarios and policies that involve multiple participants. Our proposal is based on two ontologies, L2TAP and SCIP, designed for deployment in a Linked Data environment. L2TAP provides provenance enabled logging of events. SCIP synthesizes contextual integrity concepts and enables query based solutions for two important privacy processes (compliance and obligation derivation). We include an experimental validation of the scalability of our approach.
  • Keywords
    data privacy; ontologies (artificial intelligence); L2TAP+SCIP; audit-based privacy framework; linked data; ontologies; Privacy; audit log; compliance queries; linked data; sparql;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Collaborative Computing: Networking, Applications and Worksharing (CollaborateCom), 2012 8th International Conference on
  • Conference_Location
    Pittsburgh, PA
  • Print_ISBN
    978-1-4673-2740-4
  • Type

    conf

  • Filename
    6450973