One Automatic Inference Algorithm of the Multi-classification Interconnected Security Policy
Security policy is the basis of the multi-classification interconnected information system, we use biology evolution theory which can support automatic create and update of the security policy. In this paper distribute cooperator interactive genetic algorithm (DCIGA) is used to learn the security policy grammar. The experiment gives the inference and optimization process of the multi-classification interconnected security policy, and prove the validity of the algorithm.
distribute cooperator interactive genetic(DClGA) multi-classification interconnected security policy inference grammar evolution
Dandan Zhang Hongqi Zhang Xuehui Du Lifeng Cao
Zhengzhou Information Science and Technology Institute Henan Key Laboratory of Information Security Zhengzhou, China
国际会议
成都
英文
543-547
2010-12-17(万方平台首次上网日期,不代表论文的发表时间)