A review of digital twins and their application in cybersecurity based on artificial intelligence

The potential of digital twin technology is yet to be fully realised due to its diversity and untapped potential. Digital twins enable systems’ analysis, design, optimisation, and evolution to be performed digitally or in conjunction with a cyber-physical approach to improve speed, accuracy, and eff...

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Bibliographic Details
Published in:The Artificial intelligence review 2024-07, Vol.57 (8), p.201, Article 201
Main Authors: Homaei, Mohammadhossein, Mogollón-Gutiérrez, Óscar, Sancho, José Carlos, Ávila, Mar, Caro, Andrés
Format: Article
Language:English
Subjects:
Artificial Intelligence
Computer Science
Cybersecurity
Design optimization
Digital mapping
Digital twins
Digitization
Industrial applications
Industrial engineering
Industry 4.0
Manufacturing engineering
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Summary:The potential of digital twin technology is yet to be fully realised due to its diversity and untapped potential. Digital twins enable systems’ analysis, design, optimisation, and evolution to be performed digitally or in conjunction with a cyber-physical approach to improve speed, accuracy, and efficiency over traditional engineering methods. Industry 4.0, factories of the future, and digital twins continue to benefit from the technology and provide enhanced efficiency within existing systems. Due to the lack of information and security standards associated with the transition to cyber digitisation, cybercriminals have been able to take advantage of the situation. Access to a digital twin of a product or service is equivalent to threatening the entire collection. There is a robust interaction between digital twins and artificial intelligence tools, which leads to strong interaction between these technologies, so it can be used to improve the cybersecurity of these digital platforms based on their integration with these technologies. This study aims to investigate the role of artificial intelligence in providing cybersecurity for digital twin versions of various industries, as well as the risks associated with these versions. In addition, this research serves as a road map for researchers and others interested in cybersecurity and digital security.
ISSN:1573-7462
0269-2821
1573-7462
DOI:10.1007/s10462-024-10805-3