IEEE-CSR - Peer Review & Conference Management System

Summary:

With the enormous potential of Digital Twin and the huge attack surface brought with it researchers and cybersecurity experts have recently been suggesting ways of leveraging Digital Twins (DTs) to protect critical infrastructures. Cybersecurity-oriented Digital Twins (CSDTs) are an emerging Digital Twin technology that enhances the cybersecurity of cyber-physical systems (CPSs). It enables security experts to detect threats and formulate strategies to efficiently mitigate cyberattacks in a secure and regulated setting. By conducting simulations of different cyberattack scenarios in the DT security experts can detect possible threats and vulnerabilities without affecting the live environment while improving the security and robustness of the CPSs. However this leads to different arguments between cybersecurity experts and DT professionals on whether this is possible and to what extent it can be achieved. To provide an answer this article analyzes the different arguments from both sides. First the study investigates the significance of cybersecurity for

Author(s):

Sani Abdullahi
University of Southern Denmark
Denmark

Sani Abdullahi is a Postdoctoral Researcher at the University of Southern Denmark (SDU). His current research focuses on the security and privacy of Digital Twins. Sani's work encompasses a wide range of information security areas, including biometric template protection, digital forensics, and multimedia watermarking.
Prior to joining SDU, he was with China Three Gorges University, Yichang, China. He also served as a network engineer with Sichuan Waizhimaoyuan IT/Edu Consulting Firm, Chengdu, China. Sani received his MSc in Advanced Computer Science from the University of Manchester, U.K., in 2013, and his PhD in Information Security from Southwest Jiaotong University, Chengdu, China, in 2019. He has published notable works in several reputable journals, including Information Fusion, IEEE Transactions on Information Forensics and Security, and IEEE Transactions on Dependable and Secure Computing. He is a member of the IEEE Society, the IEEE Signal Processing Society, and the IEEE Biometric Council.
https://orcid.org/0000-0003-4962-2794

Sanja Lazarova-Molnar
University of Southern Denmark & Karlsruhe Institute of Technology, Germany
Denmark

Sanja Lazarova-Molnar is a Professor at the Institute of Applied Informatics and Formal Description Methods, Karlsruhe Institute of Technology in Germany. In addition, she is a Professor with the Faculty of Engineering at the University of Southern Denmark in Denmark. Her research focuses on data-driven simulation, digital twins, and cyber-physical systems modeling for reliability and energy efficiency enhancement. Actively engaged in developing advanced methodologies, she leverages her expertise to optimize complex systems through data-driven simulation. She leads activities focused on digital twins and data-driven simulation in several European and national projects. Furthermore, Professor Lazarova-Molnar assumes leadership roles in IEEE and The Society for Modeling & Simulation International (SCS), contributing significantly to these professional organizations. She was also one of the Proceedings Editors for the Winter Simulation Conference in 2019 and 2020 and an associate editor of SIMULATION: Transactions of The Society for Modeling and Simulation International. More info can be found on https://lazarova-molnar.net/.

https://orcid.org/0000-0002-6052-0863