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Abstract: We introduce the concept, model, and policy-specific algorithms for inferring new access control decisions from previous ones. Our secondary and approximate authorization model (SAAM) defines the notions of primary vs. secondary and precise vs. approximate authorizations. Approximate authorization responses are inferred from cached primary responses, and therefore provide an alternative source of access control decisions in the event that the authorization server is unavailable or slow. The ability to compute approximate authorizations improves the reliability and performance of access control sub-systems and ultimately the application systems themselves. The operation of a system that employs SAAM depends on the type of access control policy it implements. We propose and analyze algorithms for computing secondary authorizations in the case of policies based on the Bell-LaPadula model. In this context, we define a dominance graph, and describe its construction and usage for generating secondary responses to authorization requests. Preliminary results of evaluating SAAMblp algorithms demonstrate a 30% increase in the number of authorization requests that can be served without consulting access control policies.
Keyword(s): Bell-LaPadula model ; SAAM ; access control ; authorization recycling ; JAMES
Published in: Jason Crampton, Wing Leung, Konstantin Beznosov "The Secondary and Approximate Authorization Model and its Application to Bell-LaPadula Policies," In Proceedings of the ACM Symposium on Access Control Models and Technologies (SACMAT), Lake Tahoe, California, USA, ACM, 7-9 June, 2006, pp.111-120.:
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Refereed Conference Papers