Application of improved Clustering Algorithm in Intrusion Detection

被引：0

作者：

Dai Kunyu ^{[1
]}

Hu Bin ^{[1
]}

机构：

[1] Guizhou Univ, Coll Comp Sci & Informat, Guiyang 550003, Guizhou, Peoples R China

来源：

2ND INTERNATIONAL SYMPOSIUM ON COMPUTER NETWORK AND MULTIMEDIA TECHNOLOGY (CNMT 2010), VOLS 1 AND 2 | 2010年

关键词：

intrusion detection; clustering; K-Prototypes; CATEGORICAL-DATA;

D O I：

暂无

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

This paper union cluster analysis and the though of abnormal mining, adopt the improved K-Prototypes algorithm to solve the problem that K-Prototypes algorithm can not be fully on behalf of clustering at attribute values' frequency are little difference cases in clustering, improve clustering accuracy. Finally, experiments on data sets KDD CUP 99 show that the algorithm has good reliability and feasibility.

引用

页码：621 / 624

页数：4

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