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。
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 neural network can attain a higher accurate examination rate. So it is an effective intrusion detection method.
