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Date Published: March 2021
Comments Due: May 7, 2021 (public comment period is CLOSED)
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Access control policy verification ensures that there are no faults within the policy that leak or block access privileges. To answer the challenges of traditional verification methods, this report proposes an efficient and straightforward method for access control policy verification by applying a classification algorithm of machine learning. This method does not require comprehensive test cases, oracle, or system translation but rather checks the logic of policy rules directly, making it more efficient and feasible compared to traditional methods. This report also demonstrates an experiment for the proposed method with an example that uses current available machine learning tools to facilitate the random forest classification algorithm. The result illustrates its capabilities as well as parameter settings for performing the verification steps.
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