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Design of an immune model based on fuzzy pattern recognition
基于模糊模式识别的免疫模型的设计

Keywords: IDSs,F-PR,artificial Immune,degree of membership,network attack
入侵检测系统
,模糊模式识别,人工免疫,隶属度,网络入侵,模糊模式识别,免疫模型,的设计方案,fuzzy,pattern,recognition,based,model,immune,检测效率,结果,实验,数学模型,程度,免疫原理,应用,模式识别模型,处理方法,信息,脆弱性,检测系统,入侵

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Abstract:

To investigate the frangibility of the current Intrusion Detection Systems(IDSs),and to deal with the limitation in the tradition immune model based on exact mathematics,a new approach took a closer look at the more powerful way in which network information could be well managed by Fuzzy Pattern Recognition(F_PR).This paper studied natural adaptation and fuzzy phenomena instead of formal logic and conventional idea.According to the part of experimental results,the new scheme has higher detection efficiency.

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