Network Intrusion Detection Model Based on Simplified SVM

The larger the number of support vectors is,the slower the detection speed of network intrusion detection system based on SVM is. Aiming at this problem,a novel method to simplify SVM is presented. The support vectors are organized in clusters in the feature space. For each cluster centroid,it finds the pre-image in input space and adopts it as a reduced vector to compress the number of support vectors. Experimental results show that this method can improve detection speed of SVM engine and enhance the real-time response capability of intrusion detection system.