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
Link To Document