A Multiclass SVM Classification Approach for Intrusion Detection

Author:

Sahu Santosh Kumar,Jena Sanjay Kumar

Publisher

Springer International Publishing

Reference14 articles.

1. Ambwani, T.: Multi class support vector machine implementation to intrusion detection. In: Proceedings of the International Joint Conference on Neural Networks, vol. 3. IEEE (2003)

2. Mukkamala, S., Janoski, G., Sung, A.: Intrusion detection using neural networks and support vector machines. In: Proceedings of the 2002 International Joint Conference on Neural Networks, IJCNN 2002, vol. 2. IEEE (2002)

3. Mathur, A., Foody, G.M.: Multiclass and binary SVM classification: implications for training and classification users. IEEE Geosci. Remote Sens. Lett. 5(2), 241–245 (2008)

4. Cortes, C., Vapnik, V.: Support-vector networks. Mach. Learn. 20(3), 273–297 (1995)

5. Han, J., Kamber, M., Pei, J.: Data Mining, Southeast Asia Edition: Concepts and Techniques. Morgan kaufmann, Burlington (2006)

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