Policy as Code: Formal Analysis of SELinux via Semantic Execution
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Policy as Code: Formal Analysis of SELinux via Semantic Execution

30.06.2026 HEP Journals

A significant technical pain point in operating system security is the overwhelming complexity of SELinux policy management. Modern policies often comprise tens of thousands of rules, making manual audits for completeness and consistency virtually impossible. Existing tools are often limited to specific semantic subsets or simple integrity checks, lacking the depth to explore execution paths or provide the mathematical certainty required for high-stakes environments like aerospace or critical finance infrastructure. This gap between policy complexity and verification capability creates hidden security risks.
In response to these challenges, the research team from Zhejiang University developed K-SELinux. This innovation shifts from heuristic analysis to a formal methods paradigm by defining precise mathematical semantics for the SELinux policy language using the K framework. The core architecture deconstructs policy components—such as Type Enforcement (TE) and RBAC—into dynamic runtime semantics. By introducing semantic execution, the framework allows administrators to verify specific security properties through symbolic search, effectively debugging massive policy libraries as if they were source code.
Research indicates that in evaluations of actual policies from Fedora and various Android releases (AOSP), K-SELinux demonstrates superior analytical depth. Data suggests that the framework not only accurately identifies known misconfigurations but also uncovers subtle conflict paths that traditional tools miss. By providing formal semantic guarantees, it significantly mitigates the risks associated with policy errors. This work offers a reliable technical foundation for security policy lifecycle management and a robust roadmap for building next-generation trusted operating systems with provable security.
DOI:10.1007/s11704-024-40495-7
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30.06.2026 HEP Journals
Regions: Asia, China, North America, United States
Keywords: Applied science, Computing

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