本文簡要分析了當前的幾種入侵檢測方法，指出了將神經網絡應用于入侵檢測系統的優越性。重點介紹了LVQ神經網絡的結構及其學習算法，提出了將LVQ 神經網絡用于入侵檢測系統的方法，并給出了基于LVQ 神經網絡的網絡入侵檢測系統模型結構。最后，用matlab 進行了仿真實驗。結果表明，運用LVQ 神經網絡檢測入侵，可以達到較高的準確檢測率，是一種有效的入侵檢測手段。
關鍵字：入侵檢測系統；神經網絡；LVQ 神經網絡

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