원문정보
보안공학연구지원센터(IJFGCN)
International Journal of Future Generation Communication and Networking
vol.1 no.1
2008.12
pp.37-42
피인용수 : 0건 (자료제공 : 네이버학술정보)
초록
영어
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.
목차
Abstract.
1 Introduction
2 Fuzzy Gaussian Mixture Models
3 Experimental Results
4 Conclusion
References
1 Introduction
2 Fuzzy Gaussian Mixture Models
3 Experimental Results
4 Conclusion
References
저자정보
참고문헌
자료제공 : 네이버학술정보