Intrusion Detection Method Based on Support Vector Machine with Pre-Extracting Support Vector

Abstract

Intrusion detection algorithm based on support vector machine with pre-extracting support vector is proposed which combines the center distance ratio and classification algorithm. Given proper thresholds, we can use the support vector as a substitute for the training examples. Then the scale of dataset is decreased and the performance of support vector machine is improved in the detection rate and the training time. The experiment result has shown that the IDS based on support vector machine with pre-extracting support needs less training time under the same detection performance condition.