Network Intrusion Detection Model Based on Feature Selection
Chunqiong Wu · Jisuanji fangzhen · 2012
To improve network security,the paper proposed a feature selection based network intrusion detection model.Particle swarm optimization algorithm was used for the simultaneous selection of network system state features and support vector machine parameters.To find the optimal network intrusion detection model and the model parameters,the model reduced the dimensions of the input samples.The simulation results show that the algorithm can reduce the dimensions of feature space,eliminate the redundant features which are not conducive to improving the detection results,improve the detection accuracy and efficiency of network intrusion,and is suitable for application in small samples,high real-time requirement for network intrusion detection.