基于Delphi和ANN的网络安全综合评价方法研究

网络安全评价是一复杂的系统工程，现有的安全评估工具大都只是用于对网络系统安全漏洞进行扫描、检测。为了对网络安全进行综合评价，必须要运用系统工程的思想和方法。文中采用德尔菲法（Ddphi）对影响网络安全的各种因素进行了深入研究。确立了网络安全综合评价指标体系，提出了人工神经网络（ANN）安全评价模型，并进行了计算机仿真试验。结果表明，这一模型能有效地对网络安全等级进行综合评价，从而为全面评价计算机网络安全状况提供了新的思路和方法。

Study on Comprehensive Assessment Method for Network Security Based on Delphi and ANN

Network security assessment is a complex system engineering. Most of current security evaluation tools are only used to scan and detect the security vulnerabilities of network system. In order to have a comprehensive assesmaent to network security, the thinking and method of system engineering must be adopted. The various factors of influencing network security are deeply studied by using Delphi method in this paper, and the comprehensive assessing index system of network security is constructed. The artificial neural networks model for security assessment is proposed, and the computer simulation experiments are conducted. The results show that this model can be used to a comprehensive assessment of network security levels effectively. Thus, the new idea and medxxi are provided for overall assessing security state of computer networks.