Secure Multi-domain Policy Integration Method Based on Ontology Similarity
一种基于本体相似度的多域策略集成方法

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.