Role-Based Access Control Models
Computer
The NIST model for role-based access control: towards a unified standard
RBAC '00 Proceedings of the fifth ACM workshop on Role-based access control
Developing multi-agent systems with a FIPA-compliant agent framework
Software—Practice & Experience
Securing context-aware applications using environment roles
SACMAT '01 Proceedings of the sixth ACM symposium on Access control models and technologies
Context sensitivity in role-based access control
ACM SIGOPS Operating Systems Review
The Ubiquitous Provisioning of Internet Services to Portable Devices
IEEE Pervasive Computing
Computer
A Content-Based Authorization Model for Digital Libraries
IEEE Transactions on Knowledge and Data Engineering
An infrastructure for context-awareness based on first order logic
Personal and Ubiquitous Computing
Concept-level access control for the Semantic Web
Proceedings of the 2003 ACM workshop on XML security
Ontology Based Context Modeling and Reasoning using OWL
PERCOMW '04 Proceedings of the Second IEEE Annual Conference on Pervasive Computing and Communications Workshops
Enabling privacy-preserving semantic presence in instant messaging systems
CONTEXT'11 Proceedings of the 7th international and interdisciplinary conference on Modeling and using context
Hi-index | 0.00 |
Increasing trends in pervasive computing demonstrate a requirement for context awareness. The security problem has also become a key issue with context awareness. Access control should execute its decisions by capturing security-relevant context, such as time, location, user activity, and other environmental information available when the access requests arrive. In previous context-aware access control systems, a query issued by an authorized user could not be answered when the context specified in access control policy do not exactly match that specified in the query, even though both are semantically related. In this paper, Semantic Context-aware Access Control (SCAC), is proposed, to solve the problem mentioned prior. The proposed SCAC system takes contexts and its ontologies from context middleware and subsequently arranges contexts according to the abstraction level, to build context hierarchies. Using context hierarchies and reasoning rules extracted from the context ontologies, SCAC can overcome the semantic gap between contexts specified in the policy and contexts collected from the dynamic context sources in pervasive environments.