A Cooperative Network Intrusion detection Based on Fuzzy SVMs

As the network information includes a large number of noise data, in order to reduce or eliminate the noise impact on constructing the hyperplane of SVM, this paper firstly preprocesses the data. Then the fuzzy membership function is introduced into SVM. The fuzzy membership function acquires different values for each input data according to different effects on the classification result. Because different network protocol has different attributes, that must affect the detection effect. This paper proposes cooperative network intrusion detection Based on Fuzzy SVMs. Three types of detecting agents are generated according to TCP, UDP and ICMP protocol. Finally, simulate with KDD CUP 1999 data set, and the experiment results show there are a better detection effect with cooperative network intrusion detection based on multi fuzzy SVMs.