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An Authorization Model for Data Modeled Using Semantic Web Technologies

Authors:
Jenni Reuben
Simone Fischer-Hübner

Keywords: Semantic Web; Access control; Security; Privacy; Purpose binding; OWL; RDF

Abstract:
Origin of digital artifacts is asserted by digital provenance information. Provenance information is queried for proof statement validations, failure analysis, as well as replication and attribution validations. The history of data that specifies dependency among different data items that produce the data is better captured using semantic web technologies. However, such provenance information contains sensitive information such as personally identifiable information. Further, in the context of Semantic Web knowledge representation, the interrelationships among different provenance elements imply additional knowledge. In this paper, we propose an authorization model that enforces the purpose limitation principle for such semantically related information. We present the formalization of the security policy, however the policy does not reflect the direct implementation of the desired authorization. Therefore, security properties for important relationships such as sub set, set union and set intersection are defined in order to ensure consistency of the security policy. Finally, a use case scenario demonstrating the defined security policy and the properties is presented to indicate the applicability of the proposed model.

Pages: 1 to 9

Copyright: Copyright (c) IARIA, 2017

Publication date: May 21, 2017

Published in: conference

ISSN: 2308-4332

ISBN: 978-1-61208-558-6

Location: Barcelona, Spain

Dates: from May 21, 2017 to May 25, 2017