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Efficient IRM Enforcement of History-based Access Control Policies

by Fei Yan , Philip W. L. Fong

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This work proposes a novel optimization scheme for IRM enforcement. The scheme is based on a constrained representation of history-based access control policies, which, despite its constrained expressiveness, can express such policies as separation of duty, generalized Chinese Wall policies, and hierarchical one-out-of-k authorization. An IRM optimization procedure has been designed to exploit the structure of this policy representation. The optimization scheme is then extended into a distributed optimization protocol, in which an untrusted code producer attempts to help boost the optimization effectiveness of an IRM enforcement mechanism administered by a distrusting code consumer. It is shown that the optimization procedure provably preserves security even in the midst of distributed optimization. A prototype of the optimization procedure has been implemented for Java bytecode, and its effectiveness has been empirically profiled.

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