摘要
结合免疫系统中多层防御机制和入侵行为中不确定性的特性,利用了改进的模糊识别的方法,提出了一种基于最大隶属度算法的网络安全管理模型。应用数学方法对该模型进行了描述,论证了应用该模型进行网络安全管理的可行性,实现了该系统的原型,并对该模型做了测试和评价,对其应用范围进行了展望。
Inspired by the multi- level defense mechanism in immune system and uncertainty in intrusion behavior, this paper uses an improved fuzzy recognition method to present a network security management model based on maximum degree of membership algorithm. The model is described in mathematical language. The feasibility of applying it to network security management has been discussed. Implement, test and evaluate the prototype of the model, and finally make estimation to its applicable range.
出处
《计算机技术与发展》
2007年第6期141-144,共4页
Computer Technology and Development
基金
河南省杰出人才创新基金(0521000200)
关键词
网络管理
模糊识别
网络入侵
最大隶属度
network management
fuzzy recognition
network intrusion
maximum degree of membership
