【摘要】 提出了将学习向量量化神经网络用于入侵检测系统的方法,并给出了基于学习向量量化神经网络的网络入侵检测系统模型结构。仿真实验结果表明,运用学习向量量化神经网络检测入侵,可以达到较高的准确检测率,是一种有效的入侵检测手段。更多还原

【Abstract】 The paper 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 neu ral network can attain a higher accurate examination rate.So it is an effective intrusion detection method.更多还原