Unsupervised Intrusion Feature Selection based on Genetic Algorithm and FCM

Author:

Jian Wu

Publisher

Springer London

Reference8 articles.

1. T. S. Chou, K. K. Yen, and J. Luo: Network Intrusion Detection Design Using Feature Selection of Soft Computing Paradigms. International Journal of Computational Intelligence, (2008), p.196–208

2. H. H. GAO, H. H. YANG, X. Y. WANG: Selection and Detection of Network Intrusion Feature Based on BPSO-SVM. Computer Engineering, Vol.32, (2009), p.37–39.

3. J. WU, Y. LI: Intrusion detection model based on BP neural network and feature selection. Computer Engineering and Applications, Vol. 44, (2008), p.114–117.

4. Y. CHEN, H. W. SHEN, Y. LI, X. Q. CHENG: An Efficient Feature Selection Algorithm Toward Building Lightweight Intrusion Detection System. CHINESE JOURNAL OF COMPUTERS. Vol. 30, (2007), p.1398–1408.

5. Y. CHEN You, X. L. CHENG, Y. LI, L. DAI: Lightweight Intrusion Detection System Based on Feature Selection. Journal of Software, Vol. 18, (2007), p.1639–1651.

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