Smart City Gnosys
Smart city article details
| Title | Enhancing Cybersecurity In Digital Twin Systems: Mitigating Challenges And Defending Against Threats |
|---|---|
| ID_Doc | 23766 |
| Authors | Muniyappan H.; Rajeswari M.; Pavithra S. |
| Year | 2025 |
| Published | 2025 International Conference on Data Science, Agents and Artificial Intelligence, ICDSAAI 2025 |
| DOI | http://dx.doi.org/10.1109/ICDSAAI65575.2025.11011764 |
| Abstract | Digital Twins (DTs) are precise copies of actual systems that exist to which people can interact dynamically. Employed mainly in manufacturing, healthcare and smart city sectors, DTs facilitate the improvement of performance and decision-making. This integration raises the risk of cybersecurity threats including loss of data; wrong access; and advanced persistent threats. Since through integrating DT many other infrastructures are attained by the attackers it becomes a very significant agenda to counter them. In this paper, the strategy of using AI and XAI to enhance cybersecurity in DT systems is analyzed. Some of the AI techniques are Anomaly detection, analysis that predicts and Automated response facilities to provide Security precautionary measures. Such methods are improved by XAI through the addition of the process by which the decisions were made and the trust with the parties involved. Mirroring literature review, deficits of existing DT cybersecurity frameworks, analyzed, include overall issues of scalability, insufficient new threat integration, and increased opacity. For such reasons, the current paper offers a detailed cybersecurity framework that adopts both AI and XAI to fill the existing research gaps. The framework has demonstrated the application of improvements in threat detection, downloads response time and system robustness using real life cases. The presented work is intended for those states where it is possible to create safe and secure DT environments, efficient and capable of countering modern cybersecurity threats. They are aimed to cover existing voids in order to create a socially responsible approach to the use of DT in sensitive domains. © 2025 IEEE. |
| Author Keywords | Anomaly Detection; Artificial Intelligence; Cybersecurity; Digital Twins; Explainable AI |
Similar Articles
| Id | Similarity | Authors | Title | Published |
|---|---|---|---|---|
5324  | 0.922 | Qureshi A.R.; Asensio A.; Imran M.; Garcia J.; Masip-Bruin X. | A Survey On Security Enhancing Digital Twins: Models, Applications And Tools | Computer Communications, 238 (2025) |
| 10846 | 0.898 | Maheshwari R.U.; Shankar P.R.; Chandrasekaran G.; Mahendrakhan K. | Assessment Of Cybersecurity Risks In Digital Twin Deployments In Smart Cities | International Journal of Computational and Experimental Science and Engineering, 10, 4 (2024) |
| 20206 | 0.881 | Karakra A.; Fontanili F.; Taweel A.; Lamine E.; Lamothe J.; Barghouthi H. | Digital Twin In Healthcare: Security Threat Meta-Model | Proceedings of IEEE/ACS International Conference on Computer Systems and Applications, AICCSA, 2022-December (2022) |
| 16112 | 0.861 | Chen M.; Shao J.; Guo S.; Su L.; Du H. | Convoy_Dtn: A Security Interaction Engine Design For Digital Twin Network | 2021 IEEE Globecom Workshops, GC Wkshps 2021 - Proceedings (2021) |
| 20315 | 0.857 | Shafik W. | Digital Twins Tools And Technologies | Digital Twins for Smart Cities and Villages (2024) |
| 2164 | 0.856 | Ji C.; Niu Y. | A Hybrid Evolutionary And Machine Learning Approach For Smart City Planning: Digital Twin Approach | Sustainable Energy Technologies and Assessments, 64 (2024) |
| 35067 | 0.856 | El-Hajj M. | Leveraging Digital Twins And Intrusion Detection Systems For Enhanced Security In Iot-Based Smart City Infrastructures | Electronics (Switzerland), 13, 19 (2024) |
| 20320 | 0.856 | Cali U.; Dimd B.D.; Hajialigol P.; Moazami A.; Gourisetti S.N.G.; Lobaccaro G.; Aghaei M. | Digital Twins: Shaping The Future Of Energy Systems And Smart Cities Through Cybersecurity, Efficiency, And Sustainability | 2023 International Conference on Future Energy Solutions, FES 2023 (2023) |
| 20242 | 0.855 | Chaiburi C.; Yingngam B. | Digital Twin Technology Fundamentals | Digital Twins for Smart Cities and Villages (2024) |
| 25809 | 0.854 | Alghamdi W.Y.; Alshamrani R.M.; Aloufi R.K.; Ba Lhamar S.O.; Altwirqi R.A.; Alotaibi F.S.; Althobaiti S.M.; Altalhi H.M.; Alshamrani S.A.; Alazwari A.S. | Exploring The Synergy Between Digital Twin Technology And Artificial Intelligence: A Comprehensive Survey | International Journal of Advanced Computer Science and Applications, 16, 3 (2025) |