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

Yuning Jiang (), Wei Wang, Jianguo Ding, Xin Lu and Yanguo Jing
Additional contact information
Yuning Jiang: School of Computing, National University of Singapore, Singapore 639798, Singapore
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

Future Internet, 2024, vol. 16, issue 4, 1-19

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 (search for similar items in EconPapers)
JEL-codes: O3 (search for similar items in EconPapers)
Date: 2024
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
https://www.mdpi.com/1999-5903/16/4/134/pdf (application/pdf)
https://www.mdpi.com/1999-5903/16/4/134/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jftint:v:16:y:2024:i:4:p:134-:d:1377150

Access Statistics for this article

Future Internet is currently edited by Ms. Grace You

More articles in Future Internet from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().