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Application of a New Fuzzy Clustering Algorithm in Intrusion Detection

现代电子技术2008,Vol.31Issue(4):100-102,3.
现代电子技术2008,Vol.31Issue(4):100-102,3.

Application of a New Fuzzy Clustering Algorithm in Intrusion Detection

Application of a New Fuzzy Clustering Algorithm in Intrusion Detection

1

作者信息

  • 1. Jiamusi University,Jiamusi 154007 China;Xidian University,Xi'an,710071 China
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摘要

Abstract

This paper presents a new Section Set Adaptive FCM algorithm. The algorithm solved the shortcomings of localoptimality, unsure classification and clustering numbers ascertained previously. And it improved on the architecture of FCM al-gorithm, enhanced the analysis for effective clustering. During the clustering processing, it may adjust clustering numbers dy-namically. Finally, it used the method of section set decreasing the time of classification. By experiments, the algorithm can im-prove dependability of clustering and correctness of classification.

关键词

Fuzzy clustering / Clustering Numbers/ Section Set Adaptive Algorithm/ Network Security

Key words

Fuzzy clustering / Clustering Numbers/ Section Set Adaptive Algorithm/ Network Security

分类

信息技术与安全科学

引用本文复制引用

..Application of a New Fuzzy Clustering Algorithm in Intrusion Detection[J].现代电子技术,2008,31(4):100-102,3.

基金项目

Supported by Science and Researching Foundation of Jiamusi University (L2006-12) (L2006-12)

现代电子技术

OACSTPCD

1004-373X

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