一种基于本体相似度的多域策略集成方法

Secure Multi-domain Policy Integration Method Based on Ontology Similarity

对各成员域的访问控制策略进行语义提取,是避免多域策略集成时可能产生概念和逻辑关系冲突的有效途径。提出一种基于本体相似度的多域互操作策略集成方法SPIOS,通过对成员域访问控制策略本体进行语义级映射,融入基于Bayesian概率的机器学习机制,自适应地归纳出能较好满足各成员域自治性和协同性的多域安全互操作策略模型。

Extracting semantic meaning of local access control policies is an effective method to avoid conceptual and logical conflicts in ＂multi-domain policies integration. In view of domain ontology, a secure policy integration method based on ontology similarity was proposed. Using a machine learning algorithm of Bayesian, it can self-adaptively construct a secure multi-domain interoperation model to satisfy the autonomy and cooperation of all domains.