A New Intrusion Detection Method Based on BPSO-SVM
Jing Ma, Xingwei Liu, Sijia Liu · 2008
Intelligent algorithms being applied in intrusion detection system (IDS) becomes a tendency in recent years. This paper presents a new method of hybrid detection based on BPSO-SVM, a mixed algorithm that is composed of modified binary particle swarm optimization (BPSO) and support vector machine (SVM). This algorithm proposes a simultaneous feature selection and SVM parameters optimization. Experiments on KDD CUP'99 dataset show that this method can be an effective way for hybrid detection.