神经网络在信息系统安全评价中的应用研究

针对传统的信息系统安全评价方法的单一性和主观性，提出了新的基于BP神经网络的信息系统安全评价方法。根据信息系统安全等级保护基本要求，建立了信息系统安全评价的指标体系．探讨了基于BP神经网络的信息系统安全评价方法，设计构建了评价模型，运用反向传播算法对神经元网络进行训练，并通过MATLAB仿真实验证明该方法能对信息系统的安全性做出准确的评价。

Application Research of Information System Security Assessment based on Neural Network

For the traditional method of information system security assessment is single and suhjective, a new information system security assessment method called neural network based on BP is proposed. This paper construct a index system of information system security assessment based on Baseline for classified protection of information system security. And discuss the information system security assessment based on BP neural network, and design assessment model. At the same time, the study of BP neural net, work is exercised by the counter propagable algorithm, and the result showed that the BP neural network is feasible by experiment in Matlab.