Abstract: The network intrusion means arc diversification. Traditional detection system can not extract feature very well. Packet is easy lost, and omission and misstatement rates arc high. In order to improve the detection rate, this paper proposed an intrusion detection algorithm based on weighted feature selection. Firstly, features were extracted from network packets, then support vector machine (SVM) was used to select feature based on cross validation and calculate the feature values,lastly, intrusion detection mode was set up based on the weighted reserves features. The results of simulation experiment show that the proposed algorithm improves the intrusion detection rate. It is an effective network intrusion detection method.

Key words: Intrusion detection,Choosing characters,Weighting characters,Support vector machine (SVM)