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

Reza Samavi; Mariano Consens

7th IEEE International Workshop on Trusted Collaboration

Research Article

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

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Cite: BibTeX Plain Text

@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.

Keywords: privacy linked data audit log compliance queries sparql

Published: 2012-12-14
Publisher: IEEE

: http://dx.doi.org/10.4108/icst.collaboratecom.2012.250607

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

Abstract

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