Intelligent NIPS Model and Implementation Based on MA and LVQ Neural Networks
To improve the aptitude and accuracy of intrusion prevention system,this paper analyzed the advantages of the intrusion prevention system based on MA and LVQ neural networks,the structural characteristics of LVQ neural networks and learning algorithms on the basis of intrusion prevention technical characteristics and key technologies discussing.This paper proposed a new intelligent intrusion prevention system model and structure based on MA and LVQ neural networks,presented the implementation method of the new model,done simulation experiments in MATLAB software.The results indicate the total prevention blocking accuracy and detection identification performances of the new intelligent intrusion prevention system model based on MA and LVQ neural networks have been improved greatly.