In this paper, we represent an innovative policy anomaly analysis approach for Web access control policies, focusing on XACML (eXtensible Access Control Markup Language) policy.We introduce a policy based segmentation technique to accurately identify policy anomalies and derive effective anomaly resolutions, along with an intuitive visualization representation of analysis results. We also discuss a proof-of-concept implementation of our method called XAnalyzer and demonstrate how our approach can efficiently discover and resolve policy anomalies.XACML has become the de facto standard for describing access control policies and offers a large set of built-in functions, data types, combining algorithms, and standard profiles for defining application-specific features. At the root of all XACML policies is a policy or a policy set. A policy-based segmentation mechanism and a grid-based representation technique were introduced to achieve the goals of effective and efficient anomaly analysis.
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