Network Anomaly Detection using Fuzzy Gaussian Mixture Models

Research output: Contribution to journalArticlepeer-review


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.
Original languageEnglish
Pages (from-to)37-42
Number of pages6
JournalInternational Journal of Future Generation …
Publication statusPublished - 2006


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