Automated Access Control Rule Generation via Semantic Matching

Semantic Web techniques bring us help in many fields. In this paper, we propose a way to use Semantic Matching on access control. We illustrate the motivation with an eBusiness access control schema based on RelBAC (for Relation Based Access Control). Semantic Matching techniques are applied on the lightweight ontologies of the subjects and the objects to find the semantic similarities that can be used to suggest new rules, to reuse the existing rules or to separate the duties of semantically disjoint user sets.