Automated symbolic analysis of ARBAC-policies

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Abstract

One of the most widespread framework for the management of access-control policies is Administrative Role Based Access Control (ARBAC). Several automated analysis techniques have been proposed to help maintaining desirable security properties of ARBAC policies. One limitation of many available techniques is that the sets of users and roles are bounded. In this paper, we propose a symbolic framework to overcome this difficulty. We design an automated security analysis technique, parametric in the number of users and roles, by adapting recent methods for model checking infinite state systems that use first-order logic and state-of-the-art theorem proving techniques. Preliminary experiments with a prototype implementations seem to confirm the scalability of our technique. © 2011 Springer-Verlag.

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Armando, A., & Ranise, S. (2011). Automated symbolic analysis of ARBAC-policies. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 6710 LNCS, pp. 17–34). https://doi.org/10.1007/978-3-642-22444-7_2

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