本文簡要分析了當(dāng)前的幾種入侵檢測方法，指出了將神經(jīng)網(wǎng)絡(luò)應(yīng)用于入侵檢測系統(tǒng)的優(yōu)越性。重點介紹了LVQ神經(jīng)網(wǎng)絡(luò)的結(jié)構(gòu)及其學(xué)習(xí)算法，提出了將LVQ 神經(jīng)網(wǎng)絡(luò)用于入侵檢測系統(tǒng)的方法，并給出了基于LVQ 神經(jīng)網(wǎng)絡(luò)的網(wǎng)絡(luò)入侵檢測系統(tǒng)模型結(jié)構(gòu)。最后，用matlab 進行了仿真實驗。結(jié)果表明，運用LVQ 神經(jīng)網(wǎng)絡(luò)檢測入侵，可以達到較高的準(zhǔn)確檢測率，是一種有效的入侵檢測手段。
關(guān)鍵字：入侵檢測系統(tǒng)；神經(jīng)網(wǎng)絡(luò)；LVQ 神經(jīng)網(wǎng)絡(luò)

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