基于贝叶斯网络和概率树的时间敏感工控系统风险评估OA

Bayesian network is a popular probabilistic graphical model that can be used to construct risk assessment models for analyzing the security status of a system.In time-sensitive industrial control systems,risks permeate among devices,forming risk propagation loops,which makes it difficult to di-rectly use Bayesian network for risk analysis.Based on this,this paper proposes a risk assessment method based on Bayesian network and probability tree.Firstly,a risk propagation graph for time-sensitive industrial control systems is constructed to map risk propagation paths.Secondly,path search algorithm and probability tree are combined to eliminate loops in the propagation paths.Finally,a Bayesian network-based risk assessment model is established to realize risk assessment.In simulation experiments,the deterministic communication process between an industrial field controller and a motor is used as the experimental object,verifying that the proposed method can effectively perform risk as-sessment for time-sensitive industrial control systems.