神经网络在入侵检测系统中的应用

本文简要分析了当前的几种入侵检测方法，指出了将神经网络应用于入侵检测系统的优越性。重点介绍了LVQ神经网络的结构及其学习算法，提出了将LVQ 神经网络用于入侵检测系统的方法，并给出了基于LVQ 神经网络的网络入侵检测系统模型结构。最后，用matlab 进行了仿真实验。结果表明，运用LVQ 神经网络检测入侵，可以达到较高的准确检测率，是一种有效的入侵检测手段。
关键字：入侵检测系统；神经网络；LVQ 神经网络

Application of Neural Network in Intrusion Detection System Li Dong-mei , WANG Jie
Abstract：The paper analyzes several kinds of intrusion detection technique, and points out the superiority of applying neural network in intrusion detection system. It mostly introduces the structure and study arithmetic of LVQ neural network, puts forward the method applying LVQ neural network in intrusion detection system and gives the structure of intrusion detection system based on LVQ neural network. In the end, a simulation experiment in MATLAB has been carried out. The result expresses that the intrusion detection system based on LVQ neural network can attain a higher accurate examination rate. So it is an effective intrusion detection method.
Key words：intrusion detection system; neural network; LVQ neural network