Skip to Main Content
Skip Nav Destination
ASME Press Select Proceedings

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

Xie Yi
Xie Yi
Search for other works by this author on:
No. of Pages:
ASME Press
Publication date:

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...

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
This content is only available via PDF.
You do not currently have access to this chapter.
Close Modal

or Create an Account

Close Modal
Close Modal