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Digital Twins in Industry 4.0 Cyber Security

Lo, Carol, Win, Thu Yein, Rezaeifar, Zeinab, Khan, Zaheer and Legg, Phil (2024) Digital Twins in Industry 4.0 Cyber Security. In: 2023 IEEE Smart World Congress (SWC). IEEE, pp. 1-4. ISBN 979-8-3503-1980-4

Item Type: Book Section

Abstract

The increased adoption of sophisticated Cyber Physical Systems (CPS) in critical infrastructure and various aspects of Industry 4.0 has exposed vulnerabilities stemming from legacy CPS and Industrial Internet of Things (IIoT) devices. The interconnectedness nature of these systems have been severely affected in the event of a successful attack by Advanced Persistent Threats (APT), as evidenced by the Colonial Pipeline and the Stuxnet attacks. This paper explores the application of Digital Twins for cyber security, a promising technology that addresses the multifaceted issues in Industry 4.0. Therefore, this paper first presents a summary of the state-of-the-art on several related topics, including CPS security, APT and mitigation, and Digital Twins for cyber security. Then, it discusses how Digital Twins have been used to address the current research limitations on APT detection, including attack detection, attack coverage, dataset collection and usage. Finally, a brief discussion of the future research directions will be provided.

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More Information

Additional Information: 2023 IEEE Smart World Congress (SWC) Date of Conference: 28-31 August 2023 DOI: 10.1109/SWC57546.2023.10449147 Publisher: IEEE Conference Location: Portsmouth, United Kingdom
Related URLs:
Depositing User: Thomas Thu Yein

Identifiers

Item ID: 19850
Identification Number: 10.1109/SWC57546.2023.10449147
ISBN: 979-8-3503-1980-4
URI: https://sure.sunderland.ac.uk/id/eprint/19850

Users with ORCIDS

ORCID for Thu Yein Win: ORCID iD orcid.org/0000-0002-4977-0511

Catalogue record

Date Deposited: 16 Apr 2026 09:16
Last Modified: 16 Apr 2026 09:16

Contributors

Author: Thu Yein Win ORCID iD
Author: Carol Lo
Author: Zeinab Rezaeifar
Author: Zaheer Khan
Author: Phil Legg

University Divisions

Faculty of Business and Technology > School of Computer Science and Engineering

Subjects

Computing > Cybersecurity
Computing > Network Computing

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