控制理论与应用2025，Vol.42Issue(9)：1766-1774,9.DOI:10.7641/CTA.2024.30101
随机混合系统模拟物理状态的工业信息物理系统动态风险评估
Dynamic risk assessment of industrial cyber-physical systems with the simulation of the physical state by stochastic hybrid system state
摘要
Abstract
As the core element of Industry 4.0,industrial cyber-physical systems(ICPS)are widely used in basic fields such as water distribution,medical care,and power grids.Meanwhile,cyber attacks against ICPS are also increasing.In order to evaluate the risk posed by cyber attacks to ICPS,this paper has proposed a cyber-to-physical domain dynamic risk evalutaion model.The proposed model focuses on the uncertain evolvement of the physical state under cyber attacks.Firstly,the proposed model uses extended Bayesian attack graphs to calculate physical facilities' distruction probabilities due to cyber attacks.Then,based on the probability of attack success and the sensor measurement innovation,stochastic hybrid system is used to simulate the evolution of the physical state of the system.Finally,the proposed model uses grey relation analysis to realize the transformation of physical state change to system risk value,and achieve the dynamic assessment of system risk.Simulation results using intelligent water distribution system as the simulation object verify the effectiveness of the proposed model.关键词
工业信息物理系统/信息域到物理域动态风险/拓展贝叶斯攻击图/随机混合系统/灰色关联度分析Key words
industrial cyber-physical systems/cyber-to-physical dynamic risk/extended Bayesian attack graph/s-tochastic hybrid system/grey relation analysis引用本文复制引用
刘鹏,孙子文..随机混合系统模拟物理状态的工业信息物理系统动态风险评估[J].控制理论与应用,2025,42(9):1766-1774,9.基金项目
国家自然科学基金项目(61373126),中央高校基本科研业务费专项资金项目(JUSRP51510),江苏省自然科学基金项目(BK20131107)资助.Supported by the National Natural Science Foundation of China(61373126),the Central University Fundamental Research Funds Special Funding(JUSRP51510)and the National Natural Science Foundation of Jiangsu Province(BK20131107). （61373126）
