Research Of Intrusion Detection Model Based On Neural Network

With the further development of intrusion detection technology, it provides a new way to study the network security. IDS has become an important and indispensable method. To improve the ability of Intrusion Detection System,this text has proposed a kind of ID model, Neural Network Intrusion Detection Model based on neural network. In the model, we have introduced the NN, and propose a kind of improvements train algorithm. And we are going to discuss some problems, such as intruder tracing, data flow analysis, and address matching, and network blocking. We analyze, design and realized the key part of the model at last, and carried on the relevant experiment.This article is an attempt which we applies NN to ID, we abandon the routine ID model based on behavior and adopt more advanced one, the non-linear work pattern of neural network system of people of simulation. NN can also combine expert system, data mining, and so on. The NN application in ID has enormous theory and practice meaning.