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Semantic generation of clouds privacy policies

Munir, Kamran; Rahmouni, Hanene

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Authors

Hanene Rahmouni Hanene4.Rahmouni@uwe.ac.uk
Associate Lecturer - CATE - CCT - UCCT0001



Contributors

Helfert Markus
Editor

Desrez Frédéric
Editor

Ferguson Donald
Editor

Leymann Frank
Editor

Abstract

The governance of privacy and personal information on cloud envi- ronments is challenging and complex. Usually many regulatory frameworks intervene to reflect diverse privacy wishes from several stakeholders. This includes data owners, data and services providers and also the end users. Focusing mainly on medical domains, this issue is particularly important due to the sensitivity of health related data in international data protection law. It is therefore essential to integrate heterogeneous privacy requirements in a semantic model and rules. Thereafter, overlaps, contradictions and similarities of privacy wishes could be detected and a final access control context would be captured before it is finally mapped to clouds operational policies. This paper describes a ontology-based semantic model of privacy requirements along with a logical formalism for mapping SWRL (Semantic Web Rule Language) privacy rules to a policy language that is implementable on clouds environments namely XACML. The underline implementation requirements for our formalism will be also explained.

Citation

Munir, K., & Rahmouni, H. (2015). Semantic generation of clouds privacy policies. In H. Markus, D. Frédéric, F. Donald, & L. Frank (Eds.), Cloud Computing and Services Sciences (15-30). Springer International Publishing Switzerland

Publication Date Jan 1, 2015
Deposit Date Mar 18, 2016
Publicly Available Date Dec 30, 2016
Peer Reviewed Peer Reviewed
Volume 512
Pages 15-30
Series Title Cloud Computing and Services Sciences
Book Title Cloud Computing and Services Sciences
ISBN 978-3-319-25413-5
Keywords Privacy policies OWL SWRL XACML Cloud
Public URL https://uwe-repository.worktribe.com/output/843616
Publisher URL http://link.springer.com/chapter/10.1007%2F978-3-319-25414-2_2

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