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免疫算法在入侵检测数据预处理中的应用
引用本文:张玉芳,陈艳,吕佳,陈良,程平.免疫算法在入侵检测数据预处理中的应用[J].计算机工程与设计,2006,27(22):4387-4388,F0003.
作者姓名:张玉芳  陈艳  吕佳  陈良  程平
作者单位:重庆大学,计算机学院,重庆,400044;重庆师范学院,重庆,400047;重庆电子科技职业学院,重庆,401147
摘    要:基于聚类的入侵检测方法大都是以距离差异为基础的,而同等重要地依赖所有属性的相似性度量会引起误导。提出利用免疫算法确定网络数据属性的权重值的设计方法。采用二进制编码方式对网络数据的属性进行编码,并设计了抗体和抗原亲和力的评价算法。实验结果显示,该方法确定的权重值在检测入侵方面是可行的、有效的。

关 键 词:入侵检测  免疫算法  权重  聚类算法  k-均值算法
文章编号:1000-7024(2006)22-4387-02
收稿时间:2005-10-28
修稿时间:2005-10-28

Immune algorithm based on data processing in intrusion detection
ZHANG Yu-fang,CHEN Yan,L Jia,CHEN Liang,CHENG Ping.Immune algorithm based on data processing in intrusion detection[J].Computer Engineering and Design,2006,27(22):4387-4388,F0003.
Authors:ZHANG Yu-fang  CHEN Yan  L Jia  CHEN Liang  CHENG Ping
Affiliation:1. Department of Computer, Chongqing University, Chongqing 400044, China; 2. Chongqing Normal University, Chongqing 400047, China; 3. ChongQing College of Electronic Technology, Chongqing 401147, China
Abstract:Intrusion detection methods based clustering are based on distance difference, but to depend on the similarity measurement of all attributes in the same degree tend to arouse misleading. To determine weight of network data attributes using immune algorithms is proposed. Binary encoded is used to encode the attribute of network data, and the algorithm of evaluating appetency between the antibody and antigens is designed. Experimental results demonstrate that this method to determine the weight is feasible and efficient.
Keywords:intrusion detection  immune algorithm  weight  clustering algorithm  k-means algorithm
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