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
收藏
页码：37 / 42
页数：6
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