7th IEEE International Workshop on Trusted Collaboration

Research Article

L2TAP+SCIP: An Audit-based Privacy Framework Leveraging Linked Data

Download617 downloads
  • @INPROCEEDINGS{10.4108/icst.collaboratecom.2012.250607,
        author={Reza Samavi and Mariano Consens},
        title={L2TAP+SCIP: An Audit-based Privacy Framework Leveraging Linked Data},
        proceedings={7th IEEE International Workshop on Trusted Collaboration},
        publisher={IEEE},
        proceedings_a={TRUSTCOL},
        year={2012},
        month={12},
        keywords={privacy linked data audit log compliance queries sparql},
        doi={10.4108/icst.collaboratecom.2012.250607}
    }
    
  • Reza Samavi
    Mariano Consens
    Year: 2012
    L2TAP+SCIP: An Audit-based Privacy Framework Leveraging Linked Data
    TRUSTCOL
    ICST
    DOI: 10.4108/icst.collaboratecom.2012.250607
Reza Samavi1,*, Mariano Consens1
  • 1: University of Toronto
*Contact email: samavi@mie.utorotno.ca

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.