工业信息物理系统安全风险动态表现分析量化评估模型
作者:
作者单位:

江南大学

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中图分类号:

TP273

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资助(JUSRP51510),江苏省自然科学基金资助项目(BK20131107)


Quantitative Evaluation Model for dynamic performance Analysis of Security risk in Industrial Cyber Physics Systems
Author:
Affiliation:

jiangNan university

Fund Project:

The National Natural Science Foundation of China (61373126), Special funds for basic Scientific Research Business expenses in Central Colleges and Universities(JUSRP51510), Project supported by Natural Science Foundation of Jiangsu Province(BK20131107)

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    摘要:

    针对当前工业信息物理系统的安全风险评估模型极少考虑系统的动态进程对评估准确性的影响,本文给出一种工业信息物理系统安全风险动态表现分析量化评估模型。首先运用贝叶斯网络对攻击在网络层的入侵过程建模,计算网络攻击成功入侵的概率;其次,在攻击成功入侵的前提下,采用卡尔曼状态观测器实时观测被控对象的状态,研究系统的动态表现,定量分析系统的表现损失,从经济损失的角度量化攻击对系统造成的影响,并结合攻击成功入侵的概率,实现对系统安全风险的动态评估。最后通过Matlab对攻击下沸水发电厂模型的运行状态进行仿真。结果表明,该模型能有效地评估工业信息物理系统的风险。

    Abstract:

    In view of the fact that current safety risk assessment models for industrial cyber physical systems rarely consider the impact of dynamic process of the system on the accuracy of the assessment, this paper proposes a quantitative evaluation model for the dynamic performance analysis of security risk in the industrial cyber physical systems. Firstly, the Bayesian network is used to model the intrusion process of the attack in the cyber layer, and the probability of the successful intrusion of the network attack is calculated; secondly, under the premise of successful attack, the Kalman state observer is used to observe the state of the controlled object in real time, study the dynamic performance of the system, quantitatively analyze the performance loss of the system, quantify the impact of the attack on the system from the perspective of economic loss, and realize the dynamic assessment of system security risk based on the probability of successful attack; finally, the running state of the boiling water power plant model under attack is simulated by using Matlab. The results show that the model can effectively assess the risk of industrial cyber physical systems.

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历史
  • 收稿日期:2019-10-22
  • 最后修改日期:2021-01-25
  • 录用日期:2020-05-12
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