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入侵检测的CPN改进算法的研究
引用本文:罗锦光,元昌安,邹鹏,罗锦坤.入侵检测的CPN改进算法的研究[J].广西师范学院学报(自然科学版),2011,28(2):76-80.
作者姓名:罗锦光  元昌安  邹鹏  罗锦坤
作者单位:广西师范学院计算机与信息工程学院,广西南宁,530023
基金项目:国家自然科学基金,广西自然科学基金重点项目,广西研究生教育创新计划基金项目(
摘    要:结合神经网络方法,对入侵检测技术的聚类分析方法进行了研究和分析,探讨了在传统的对偶传播神经网络(Counter Propagation Networks,CPN)的基础上,引入基因表达式编程(Gene Expression Programming,GEP)对聚类进行优化,提出一种应用于入侵检测的CPN改进算法,该方法融...

关 键 词:入侵检测  网络入侵  对传网  聚类算法

A Research into Intrusion Detection Based on Improved CPN Algorithm
LUO Jin-guang,YUAN Chang-an,ZHUO-Peng,LUO Jin-kun.A Research into Intrusion Detection Based on Improved CPN Algorithm[J].Journal of Guangxi Teachers Education University:Natural Science Edition,2011,28(2):76-80.
Authors:LUO Jin-guang  YUAN Chang-an  ZHUO-Peng  LUO Jin-kun
Institution:1(1.Computer and Information Engineering College,GuangxiTeachers Education University,Nanning 530023,China)
Abstract:Combined with the neural network method,an analysis of clustering in intrusion detection technology is conducted,and the optimization of the clustering by introducing the gene expression programming is discussed based on the counter propagation networks.And an improved CPN algorithm that is applied to the intrusion detection is proposed,which can overcome the problem of the input vector affecting the connection weight value in the Kohonen of the traditional CPN and in the mean time the networks will fall into the tremble.Furthermore,much better clustering result has been obtained,and the convergence time has been increased.Finally,the validity and superiority of the presented algorithm is demonstrated by experiment in intrusion data analysis.
Keywords:intrusion detection  network intrusion  counter propagation networks  clustering algorithmation networks  Clustering algorithm
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