Localization Algorithm Based on Adaptive Attack Features in Automatic Interval Division
Xuemei Li · Jisuanji fangzhen · 2013
In the network attack detection system,the correlation of the detection performance and the attacking features is strong.The processing of feature searching is influenced by the complexity of the system,and it is hard to control the searching speed for the optimization.The precision of detection is affected eventually.An improved intrusion detection algorithm was proposed based on the particle release and speed limitation method.The ranges were divided automatically for the collected attacking features.The diversity of population was enhanced by the particle release control method,and the local optimization phenomenon was avoided.The convergence speed was limited with the speed limitation release method.The searching performance was improved for the intrusion detection and the attacking feature was obtained.Simulation result shows that the new method has better performance of optimization searching and convergence.