Implement Security Analysis of Access Control Policy Based on Constraint by SMT

Aodi Liu, Xuehui Du, Nan Wang, Xiaochang Wang, Xiangyu Wu, Jiashun Zhou
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Abstract

Access control is a widely used technology to protect information security. The implementation of access control depends on the response generated by access control policies to users’ access requests. Therefore, ensuring the correctness of access control policies is an important step to ensure the smooth implementation of access control mechanisms. To solve this problem, this paper proposes a constraint based access control policy security analysis framework (CACPSAF) to perform security analysis on access control policies. The framework transforms the problem of security analysis of access control policy into the satisfiability of security principle constraints. The analysis and calculation of access control policy can be divided into formal transformation of access control policy, SMT coding of policy model, generation of security principle constraints, policy detection and evaluation. The security analysis of policies is divided into mandatory security principle constraints, optional security principle constraints and user-defined security principle constraints. The multi-dimensional security analysis of access control policies is realized and the semantic expression of policy analysis is stronger. Finally, the effectiveness of this framework is analyzed by performance evaluation, which proves that this framework can provide strong support for fine-grained security analysis of policies, and help to correctly model and conFigure policies during policy modeling, implementation and verification.
利用SMT实现基于约束的访问控制策略安全性分析
访问控制是一种广泛应用的信息安全保护技术。访问控制的实现取决于访问控制策略对用户访问请求的响应。因此,确保访问控制策略的正确性是保证访问控制机制顺利实施的重要步骤。针对这一问题,本文提出了一种基于约束的访问控制策略安全分析框架(CACPSAF),对访问控制策略进行安全分析。该框架将访问控制策略的安全分析问题转化为安全原则约束的可满足性问题。访问控制策略的分析与计算可分为访问控制策略的形式化转换、策略模型的SMT编码、安全原则约束的生成、策略检测与评估。策略的安全分析分为强制性安全原则约束、可选性安全原则约束和自定义性安全原则约束。实现了访问控制策略的多维安全分析,增强了策略分析的语义表达能力。最后,通过性能评估分析了该框架的有效性,证明该框架能够为策略的细粒度安全分析提供强有力的支持,有助于在策略建模、实现和验证过程中正确建模和配置策略。
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