Journal of System Simulation
Abstract
Abstract: The characteristic of multi-service flow integration in TSN industrial control systems makes it very difficult to establish an accurate mathematical model. In order to ensure the coordination between the security policy and the real-time operation of the system, a four-layer double-closed-loop digital twin framework of "physical layer-data layer-twin layer-service layer" serving the generation and optimization of security policies is proposed. The optimal security policy generation is achieved through the internal closed loop composed of iterative optimization between the initial security policy generation at the service layer and the deployment verification at the twin layer. The deterministic communication process between the controller and the motor in the industrial field is taken as the experimental object to verify the effectiveness of the framework.
Recommended Citation
Zhang, Huimai; Hu, Xiaoya; and Zhou, Chunjie
(2025)
"Digital Twin Framework for the Generation and Optimization of Security Policies for TSN Industrial Control Systems,"
Journal of System Simulation: Vol. 37:
Iss.
4, Article 3.
DOI: 10.16182/j.issn1004731x.joss.23-1589
Available at:
https://dc-china-simulation.researchcommons.org/journal/vol37/iss4/3
First Page
861
Last Page
874
CLC
TP391.9; TP393.0
Recommended Citation
Zhang Huimai, Hu Xiaoya, Zhou Chunjie. Digital Twin Framework for the Generation and Optimization of Security Policies for TSN Industrial Control Systems[J]. Journal of System Simulation, 2025, 37(4): 861-874.
DOI
10.16182/j.issn1004731x.joss.23-1589
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