通过对人工智能、"软件人"和网络安全风险评估技术的深入研究,提出一种基于"软件人"群的网络安全风险评估模型,能够动态地反应、评估网络系统的安全性,有效地解决了传统风险评估系统中检测和评估模块不能在网络中动态移动、随需分布,并限制评估速度、效率和应用范围等问题。使风险评估系统结构具有良好的自治性、灵活性、扩展性、适应性、分布式控制和应急响应能力,同时降低对网络系统带宽的依赖程度,提高了系统的服务能力和工作效率。
Through studying on artificial intelligence,SoftMan and network security risk assessment,this paper constructs a model of network security risk assessment based on multi-SoftMan, be able to react dynamically to assess the security of network systems.The traditional risk assessment system for detection and assessment of modules should not dynamically to move in the net- work with the required distribution,limiting the assessment of speed,efficiency and scope of application and so on.The structure of risk assessment system has a good degree of autonomy,flexibility,sealability,adaptability,distributed control and emergency response capabilities,while reducing the bandwidth of the network system dependence improve the service capacity and efficiency.