多状态有奖马尔可夫工业控制网络可信测度研究

Research on Trusted Measurement of Industrial Control Network with Markov Reward Model

在分析工业控制系统安全特殊需求及可信网络研究现状的基础上,运用状态分析法和可信网络理论,针对工业控制网络的特点构建有奖马可夫可信度评估模型。通过特定奖励参数的累积计算其安全性、可生存性和可控性量值并归一化处理得出可信度,为进一步研究可信工业控制网络系统奠定基础。

After analyzing the current situation of industrial control systems security research, a award Markov trustworthy assessment model was set up by using the theory of state analysis and trusted network. The value for the security, survivability and controllability of trustworthy industrial control network system can be computed. Furthermore the trusted value can be get from them. The research result will lay a solid foundation for trusted industrial control network research work.