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
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;
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