一种基于CFCM的集群入侵检测方法的研究

计算机科学 ›› 2010, Vol. 37 ›› Issue (6): 176-178.

一种基于CFCM的集群入侵检测方法的研究

赵越,张为群

(西南大学计算机与信息科学学院重庆400715);(重庆市智能软件与软件工程重点实验室重庆400715)

出版日期:2018-12-01 发布日期:2018-12-01
基金资助:
本文受重庆市自然科学基金重点项目“软件测试技术和方法研究"(CSTC, 2006BA2003)资助。

Research Based on a Method of CFCM Clustering Intrusion Detection

ZHAO Yue,ZHANG Wei-qun

Online:2018-12-01 Published:2018-12-01

摘要/Abstract

摘要： 将网络数据流聚类来实现负载平衡已经被广泛应用于集群入侵检测方法中。将相关性思想引入传统模糊G均值聚类算法(FCM)，给出数据流逻辑距离公式，提出了一种相关模糊G均值聚类算法(CFCM)。最后，将此算法应用于集群入侵检测方法中，利用KDD Cup 1999数据集进行实验，验证其可行性及准确性。

关键词: 相关性思想，CFCM，集群入侵检测方法

Abstract: Clustering Web flows to attain Load Balancing is widely used in Clustering Intrusion Dtection approach.Correlated ideas were improted in the traditional fuzzy C-means clustering algorithm (FCM),defined logical distance formula,and presented a Correlated fuzzy C-means clustering algorithm(CFCM).At last we applied this approach in Clustering Intrusion Detection approach,and used KDD Cup 1999 data set to do experiment.The results demonstrated the viability and effectiveness of our approach.

Key words: Correlated ideas,CFCM,Clustering Intrusion Detection approach

赵越,张为群. 一种基于CFCM的集群入侵检测方法的研究[J]. 计算机科学, 2010, 37(6): 176-178. https://doi.org/

ZHAO Yue,ZHANG Wei-qun. Research Based on a Method of CFCM Clustering Intrusion Detection[J]. Computer Science, 2010, 37(6): 176-178. https://doi.org/

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