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Compositional Typed Analysis of ARBAC Policies

机译:ABBAC政策的组成类型分析

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Model-checking is a popular approach to the security analysis of ARBAC policies, but its effectiveness is hindered by the exponential explosion of the ways in which different users can be assigned to different role combinations. In this paper we propose a paradigm shift, based on the observation that, while verifying ARBAC by exhaustive state search is complex, realistic policies often have rather simple security proofs, and we propose to use types as an effective tool to leverage this simplicity. Concretely, we present a static type system to verify the security of ARBAC policies, along with a sound and complete type inference algorithm used to automate the verification process. We then introduce compositionality results, which identify sufficient conditions to preserve the security guarantees obtained by the verification of different sub-policies when these sub-policies are combined together: this compositional reasoning is crucial when policy administration is highly distributed and naturally supports the security analysis of evolving ARBAC policies. We evaluate our approach by implementing TAPA, a static analyser for ARBAC policies based on our theory, which we test on a number of relatively large, publicly available policies from the literature.
机译:模型检查是ABRAC策略安全分析的流行方法,但其有效性受到不同用户可以分配给不同角色组合的方式的指数爆炸。在本文中,我们提出了一种范式转变,基于观察,在通过详尽的状态搜索验证ARBAC的同时,逼真的政策通常具有相当简单的安全证据,我们建议使用类型作为利用这种简单的有效工具来利用这种简单的工具。具体地,我们介绍了一个静态类型系统来验证ABRAC策略的安全性,以及用于自动化验证过程的声音和完整的类型推理算法。然后,我们介绍了合成性结果,该结果确定了足够的条件,以保留在这些子政策组合在一起时验证不同子政策获得的安全保障:当政策管理高度分布时,这种组成推理至关重要,并且自然支持安全分析不断发展的ARBAC政策。我们通过实现基于我们理论的ARBAC政策的静态分析仪来评估我们的方法,我们在文献中测试了许多相对较大的公开可用政策。

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