Leveraging Digital Twin Technology for Enhanced Cybersecurity in Cyber–Physical Production Systems

Jiang, Yuning; Wang, Wei; Ding, Jianguo; Lu, Xin; Jing, Yanguo

doi:10.3390/fi16040134

Open AccessArticle

Leveraging Digital Twin Technology for Enhanced Cybersecurity in Cyber–Physical Production Systems

by

Yuning Jiang

^1,*,†

,

Wei Wang

²

,

Jianguo Ding

³

,

Xin Lu

⁴

and

Yanguo Jing

⁴

¹

School of Computing, National University of Singapore, Singapore 639798, Singapore

²

Department of Production and Automation Engineering, University of Skövde, 541 28 Skövde, Sweden

³

Department of Computer Science, Blekinge Institute of Technology, 371 79 Karlskrona, Sweden

⁴

Faculty of Business, Computing and Digital Industries, Leeds Trinity University, Leeds LS18 5HD, UK

^*

Author to whom correspondence should be addressed.

^†

Part of the work by the contact author was done while at the University of Skövde, 541 28 Skövde, Sweden.

Future Internet 2024, 16(4), 134; https://doi.org/10.3390/fi16040134

Submission received: 10 March 2024 / Revised: 11 April 2024 / Accepted: 13 April 2024 / Published: 17 April 2024

(This article belongs to the Special Issue Digital Twins in Intelligent Manufacturing)

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Abstract

The convergence of cyber and physical systems through cyber–physical systems (CPSs) has been integrated into cyber–physical production systems (CPPSs), leading to a paradigm shift toward intelligent manufacturing. Despite the transformative benefits that CPPS provides, its increased connectivity exposes manufacturers to cyber-attacks through exploitable vulnerabilities. This paper presents a novel approach to CPPS security protection by leveraging digital twin (DT) technology to develop a comprehensive security model. This model enhances asset visibility and supports prioritization in mitigating vulnerable components through DT-based virtual tuning, providing quantitative assessment results for effective mitigation. Our proposed DT security model also serves as an advanced simulation environment, facilitating the evaluation of CPPS vulnerabilities across diverse attack scenarios without disrupting physical operations. The practicality and effectiveness of our approach are illustrated through its application in a human–robot collaborative assembly system, demonstrating the potential of DT technology.

Keywords: cybersecurity; asset visibility; dependence analysis; mitigation prioritization; cyber–physical system (CPS); digital twin (DT); manufacturing system

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MDPI and ACS Style

Jiang, Y.; Wang, W.; Ding, J.; Lu, X.; Jing, Y. Leveraging Digital Twin Technology for Enhanced Cybersecurity in Cyber–Physical Production Systems. Future Internet 2024, 16, 134. https://doi.org/10.3390/fi16040134

AMA Style

Jiang Y, Wang W, Ding J, Lu X, Jing Y. Leveraging Digital Twin Technology for Enhanced Cybersecurity in Cyber–Physical Production Systems. Future Internet. 2024; 16(4):134. https://doi.org/10.3390/fi16040134

Chicago/Turabian Style

Jiang, Yuning, Wei Wang, Jianguo Ding, Xin Lu, and Yanguo Jing. 2024. "Leveraging Digital Twin Technology for Enhanced Cybersecurity in Cyber–Physical Production Systems" Future Internet 16, no. 4: 134. https://doi.org/10.3390/fi16040134

APA Style

Jiang, Y., Wang, W., Ding, J., Lu, X., & Jing, Y. (2024). Leveraging Digital Twin Technology for Enhanced Cybersecurity in Cyber–Physical Production Systems. Future Internet, 16(4), 134. https://doi.org/10.3390/fi16040134

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

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Leveraging Digital Twin Technology for Enhanced Cybersecurity in Cyber–Physical Production Systems

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