A Context-Aware Fine-Grained Access Control Model

Abstract

As the distributed computing applications represent comprehensive dynamics and the user requirements in them are significant difference, they require dynamic differentiated fine-grained resource access control policies taking context factors into consideration before making access control decisions. With regards to this, the paper investigates the impact and functions of context factors in access control policy decision, and proposes a context-aware fine-grained access control policy and method. Firstly, the context factors in access control is analyzed classifiedly and formalized from four aspects including platform security context, user trust context, space context and time context, then, the entities and relations in role based access control model are redefined and formalized using context constraints to achieve dynamic fine-grained resource access control in distributed computing.