Version 1
: Received: 17 October 2023 / Approved: 17 October 2023 / Online: 18 October 2023 (07:12:53 CEST)
How to cite:
Homaei, M.; Mogollón Gutiérrez, O.; Sancho Núñez, J.C.; Ávila Vegas, M.; Caro Lindo, A. A Review of Digital Twins and Their Application in Cybersecurity Based on Artificial Intelligence. Preprints2023, 2023101127. https://doi.org/10.20944/preprints202310.1127.v1
Homaei, M.; Mogollón Gutiérrez, O.; Sancho Núñez, J.C.; Ávila Vegas, M.; Caro Lindo, A. A Review of Digital Twins and Their Application in Cybersecurity Based on Artificial Intelligence. Preprints 2023, 2023101127. https://doi.org/10.20944/preprints202310.1127.v1
Homaei, M.; Mogollón Gutiérrez, O.; Sancho Núñez, J.C.; Ávila Vegas, M.; Caro Lindo, A. A Review of Digital Twins and Their Application in Cybersecurity Based on Artificial Intelligence. Preprints2023, 2023101127. https://doi.org/10.20944/preprints202310.1127.v1
APA Style
Homaei, M., Mogollón Gutiérrez, O., Sancho Núñez, J.C., Ávila Vegas, M., & Caro Lindo, A. (2023). A Review of Digital Twins and Their Application in Cybersecurity Based on Artificial Intelligence. Preprints. https://doi.org/10.20944/preprints202310.1127.v1
Chicago/Turabian Style
Homaei, M., Mar Ávila Vegas and Andrés Caro Lindo. 2023 "A Review of Digital Twins and Their Application in Cybersecurity Based on Artificial Intelligence" Preprints. https://doi.org/10.20944/preprints202310.1127.v1
Abstract
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.
Keywords
digital twin; cybersecurity; artificial intelligence; Internet of Things
Subject
Computer Science and Mathematics, Artificial Intelligence and Machine Learning
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
