Network Intrusion Detection Using Support Vector Machine Based on Particle Swarm Optimization

Abstract. As an important part of the study of network security, Intrusion detection has aroused special attention of scholars from home and abroad. PSO-based SVM network intrusion detection is innovatively adopted in the paper where PSO is applied to support the parameters of SVM. Multi-classification is carried out with one versus one (OVO). The experiments on standard intrusion detection data set show that the PSO-based SVM method proposed in this paper is better than classical SVM method. Therefore, PSO-SVM test is very suitable for network intrusion detection