Work

Enhancing IIoT Security Using Digital Twins in Industry 5.0: A Systematic Literature Review

Year: 2026

Type: review

Abstract: The rapid advancement of Industry 5.0 and the concurrent growth of the Industrial Internet of Things (IIoT) present significant cybersecurity challenges necessitating advanced solutions. Digital Twin technology, which enables the creation of near-perfect digital replicas of physical systems, offers a promising approach to enhancing security and safety. This paper presents a literature review of the existing research to identify the challenges and future directions for integrating DT technology into IIoT from a security perspective. We aim to establish a comprehensive understanding of emerging features, including predictive analytics, real-time threat detection, and cybersecurity management. Additionally, this review highlights critical gaps, including complexity, model fidelity, real-time data processing, and scalability, which hinder the successful deployment of DT technology. Our study will assist researchers, cybersecurity practitioners, and policymakers in understanding the potential, limitations, and future advancements of this crucial area.

Source: Information

DOI: 10.3390/info17020209

Authors: Md Whaiduzzaman, Natasha Tanzila Monalisa, Shinthi Tasnim Himi, Shirin Sultana, Tony Jan, Alistair Barros

Institutions: Queensland University of Technology, Torrens University Australia, University of Hertfordshire

Language: English

Topic: Digital Transformation in Industry

Subfield: Industrial and Manufacturing Engineering

Field: Engineering

Domain: Physical Sciences

SDG: Industry, innovation and infrastructure

Open Access status: gold

Estimated APC paid: $1,930