A graph-based ML pipeline reports 95% accuracy detecting synthetic SELinux policy violations, but post-hoc violation-class refinement and no real-policy evaluation weaken the central claim.
Graph-Powered Mining and Refining of SELinux Security Policies,
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Machine Learning-Based Security Policy Analysis
A graph-based ML pipeline reports 95% accuracy detecting synthetic SELinux policy violations, but post-hoc violation-class refinement and no real-policy evaluation weaken the central claim.