基于离散型Hopfield网络的计算机网络安全等级分类研究

摘要

主要结合我国计算机网络的相关特点,选择入侵检测技术等10个可以表征网络安全的特征指标,构建用于网络安全评级的离散型Hopfield神经网络模型.从仿真结果来看,建立的神经网络模型可以很好地对计算机网络的安全等级进行分类,大大提高了对网络安全状况评价和判断的效率,对相关研究有一定的借鉴作用.%Combining with the related characteristics of the computer network,10 characteristic indexes including the intru-sion detection technology which can represent the network security were selected,and the discrete Hopfield neural network model applied to network security grading was constructed. The simulation results show that the established neural network model can classify the security grade for the computer network greatly,and improve the evaluation and judgment efficiency to the network security situation,and has certain reference function for the related research.