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.
Automated SELinux RBAC Policy Verification Using SMT
1 Pith paper cite this work. Polarity classification is still indexing.
abstract
Security-Enhanced Linux (SELinux) is a Linux kernel module that allows for a role-based access control (RBAC) mechanism. It provides a fine-grained security framework enabling system administrators to define security policies at the system and application level. Whilst SELinux offers robust security features through a customisable, powerful RBAC model, its manual policy management is prone to error, leaving the system vulnerable to accidental misconfigurations or loopholes. We present a tool to automate the conversion of SELinux policies into satisfiability modulo theories (SMT), enabling the verification of the intended security configurations using automated theorem proving. Our tool is capable of flagging common policy misconfigurations by asserting consistency between supplied RBAC policies and the intended specification by the user in SMT. RBAC policies are inherently complicated to verify entirely. We envision that the automated tool presented here can be further extended to identify an even broader range of policy misconfigurations, relieving the burden of managing convoluted policies on system administrators.
citation-role summary
citation-polarity summary
fields
cs.LG 1years
2024 1verdicts
REJECT 1roles
background 1polarities
background 1representative citing papers
citing papers explorer
-
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.