A Review of Digital Twins and their Application in Cybersecurity based on Artificial Intelligence
MohammadHossein Homaei, Oscar Mogollon Gutierrez, Jose Carlos Sancho, Nunez, Mar Avila Vegas, Andres Caro Lindo

TL;DR
This paper reviews how artificial intelligence enhances cybersecurity for digital twins across industries, highlighting benefits, risks, and future research directions in integrating these technologies.
Contribution
It provides a comprehensive overview of AI's role in securing digital twins and discusses associated risks, serving as a roadmap for future research in cybersecurity and digital security.
Findings
AI improves cybersecurity of digital twins
Digital twins pose security risks if not properly protected
Integration of AI and digital twins enhances system resilience
Abstract
The potential of digital twin technology is yet to be fully realized due to its diversity and untapped potential. Digital twins enable systems' analysis, design, optimization, 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 digitization, 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…
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Taxonomy
TopicsDigital Transformation in Industry
Methodstravel james
