Using OWL to Model Role Based Access Control

Authors: , Lalana Kagal, Jianwei Niu, Ravi Sandhu, William Winsborough, Bhavani Thuraisingham

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Abstract: Current access control research follows two parallel themes: many efforts focus on developing novel access control models meeting the policy needs of real world application domains while others are exploring new policy languages. This paper is motivated by the desire to develop a synergy between these themes facilitated by OWL. Our vision for the future is a world where advanced access control concepts are embodied in models that are supported by policy languages in a natural intuitive manner, while allowing for details beyond the models to be further specified in the policy language. In this paper we specifically study the relationship between the Web Ontology Language (OWL) and the Role Based Access Control (RBAC) model. Although OWL is a web ontology language and not specifically designed for expressing authorization policies, it has been used successfully for this purpose in previous work. We show two different ways to support the NIST Standard RBAC model in OWL and then discuss how the OWL constructions can be extended to model attribute-based RBAC or more generally attribute-based access control.

Type: TechReport

Tags: model checking, policy, privacy, rbac, security, semantic web

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