Network Anomaly Detection using Fuzzy Gaussian Mixture Models

被引：0

作者：

Tran, Dat ^{[1
]}

Ma, Wanli ^{[1
]}

Sharma, Dharmendra ^{[1
]}

机构：

[1] Univ Canberra, Fac Informat Sci & Engn, Canberra, ACT 2601, Australia

来源：

INTERNATIONAL JOURNAL OF FUTURE GENERATION COMMUNICATION AND NETWORKING | 2008年 / 1卷 / 01期

关键词：

Fuzzy Gaussian mixture model; network anomaly detection;

D O I：

暂无

中图分类号：

TN [电子技术、通信技术];

学科分类号：

0809 ;

摘要：

Fuzzy Gaussian mixture modeling method is proposed in this paper for network anomaly detection. A mixture of Gaussian distributions was used to represent the network data in multi-dimensional feature space. Gaussian parameters were estimated using fuzzy c-means estimation. The method was tested with the KDD Cup data set. Experimental results have shown that the proposed method is more effective than the vector quantization method.

引用

页码：37 / 42

页数：6

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