Application of Particle Swarm Optimization Clustering in Network Security
Tao Zhao · Jisuanji fangzhen · 2012
To study the variation of network attack fast accurate detection problem,the paper put forward a particle swarm optimization clustering algorithm of network intrusion detection methods.First,through the particle swarm algorithm,the initial clustering center was selected.After the invasion detection variation characteristics minimization,the minimum FCM algorithm characteristics of clustering analysis was used to the complete network intrusion detection fast variation.The simulation results show that the improved FCM algorithm is very good in overcoming the defects of the traditional FCM algorithm,it can effectively improve the accuracy of network detection,and at the same time,improve the network intrusion detection speed.