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

Author

Listed:
  • Yuning Jiang

    (School of Computing, National University of Singapore, Singapore 639798, Singapore
    Part of the work by the contact author was done while at the University of Skövde, 541 28 Skövde, Sweden.)

  • Wei Wang

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

  • Jianguo Ding

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

  • Xin Lu

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

  • Yanguo Jing

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

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.

Suggested Citation

  • Yuning Jiang & Wei Wang & Jianguo Ding & Xin Lu & Yanguo Jing, 2024. "Leveraging Digital Twin Technology for Enhanced Cybersecurity in Cyber–Physical Production Systems," Future Internet, MDPI, vol. 16(4), pages 1-19, April.
    • Handle: RePEc:gam:jftint:v:16:y:2024:i:4:p:134-:d:1377150
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    References listed on IDEAS

    as
    1. Zio, Enrico, 2016. "Challenges in the vulnerability and risk analysis of critical infrastructures," Reliability Engineering and System Safety, Elsevier, vol. 152(C), pages 137-150.
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