A Weighted Support Vector Clustering Algorithm and its Application in Network Intrusion Detection

被引：5

作者：

Sun, Sheng ^{[1
]}

Wang, YuanZhen ^{[2
]}

机构：

[1] Huazhong Univ Sci & Technol, Huangshi Inst Technol, Sch Comp Sci, Wuhan 430074, Peoples R China

[2] Huazhong Univ Sci & Technol, Sch Comp Sci, Wuhan 430074, Peoples R China

来源：

PROCEEDINGS OF THE FIRST INTERNATIONAL WORKSHOP ON EDUCATION TECHNOLOGY AND COMPUTER SCIENCE, VOL I | 2009年

关键词：

clustering; support vector clustering; intrusion detection; outlier;

D O I：

10.1109/ETCS.2009.88

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

Network Intrusion detection is an area that has received much attention in recent years. Following the anomaly detection approach, we propose a new weighted support vector clustering algorithm and apply it to the anomaly detection problem. The weight to each input point is defined according to the position of samples in sphere space. The results of experiment demonstrate that the algorithm has excellent capability and applying it in intrusion detection system can be an effective way via using the data sets of KDD cup 99.

引用

页码：352 / +

页数：2

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