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ASME Press Select Proceedings

International Conference on Advanced Computer Theory and Engineering (ICACTE 2009)

By
Xie Yi
Xie Yi
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ISBN:
9780791802977
No. of Pages:
2012
Publisher:
ASME Press
Publication date:
2009

It is significant to detect and prohibit the abnormal actions by studying the intrusion detection method and constructing the intrusion detection system. RBF neural network (RBFNN) is a pattern classification tool that has been widely used in a variety of engineering applications. However, the problem by using the RBF neural network is about how to choose the optimum initial values of the following three parameters: the output weights, the centers and widths of the hidden unit. Therefore, the novel method based on the combination of RBF neural network and genetic algorithm (GA-RBFNN) are adopted to network intrusion detection, the genetic...

Abstract
Key Words
1. Introduction
2. RBF Neural Network
3. Intrusion Detection Model Based on GA-RBF Neural Network
4. Experimental Analysis for Network Intrusion Detection
5. Conclusion
References
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