Feature Selection Using Rough-DPSO in Anomaly Intrusion Detection

Author:

Zainal Anazida,Maarof Mohd Aizaini,Shamsuddin Siti Mariyam

Publisher

Springer Berlin Heidelberg

Reference33 articles.

1. Sung, A.H., Mukkamala, S.: Identifying Important Features for Intrusion Detection Using Support Vector Machines and Neural Networks. In: SAINT’03. Proceedings of the 2003 Symposium on Applications and the Internet, pp. 209–216 (2003)

2. Li, J., Zhang, G.Y, Gu, G.C.: The Research and Implementation of Intelligent Intrusion Detection System Based on Artificial Neural Network. In: IEEE Proceedings of the 3rd. International Conference on Machine Learning and Cybernetics, pp. 3178–3182. IEEE Computer Society Press, Los Alamitos (2004)

3. Zhang, C., Jiang, J., Kamel, M.: Intrusion Detection using Hierarchical Neural Networks. Pattern Recognition Letters 26, 779–791 (2005)

4. Lecture Notes in Artificial Intelligence;X. Xu,2005

5. Lecture Notes in Computer Science;H. Gao,2005

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