Research on Coarse-to-fine Hierarchical Intrusion Detection Technology in Complex Network
LI Zhen-me · Science Technology and Engineering · 2013
Complex network is open,interconnection and sharing,vulnerable to large-scale invasion,the traditional to one method is used to build network intrusion detection model,which intrusion detection is time consuming,effects of real-time for intrusion detection is poor,in order to improve the performance of network intrusion detection.Network intrusion model based on a coarse-to-fine hierarchical technical is proposed.Based on traditional LSSVM classifier,the classification process is further subdivided,a coarse-to-fine strategy is used to establish a network multilayer structure intrusion classifier.In fine classification layer,the crowded and isolation factor particle swarm classifier is introduced to improve the performance of the classifier.Finally,simulation test is carried out by using KDD 99 data sets.The results show that,compared with other detection model,this proposed model can not only accelerate the speed of intrusion detection,can meet the real-time requirement of network intrusion detection,and improve the network intrusion detection rate,and it can provide effective guarantee for network security.