| Autors: Ilieva, R. Y., Stoilova, G. O. Title: Digital Twins for Threat Simulation and Intelligent Defense Strategies in Automated Discrete Manufacturing Keywords: Digital Twins, Cyber-Threat Simulation, Automated Discrete Abstract: The rapid advancements in Industry 4.0 have led to the widespread use of Cyber-Physical Systems in automated discrete manufacturing, resulting in improved efficiency, adaptability, and connectivity. However, the increasing digitalization of manufacturing environments also introduces significant cybersecurity vulnerabilities, highlighting the need for urgent and effective strategies to mitigate these threats. Digital Twin technology emerges as a promising solution, enabling real-time simulation of cyber threats and the development of intelligent defense mechanisms. This paper examines the crucial role of digital twins in enhancing cybersecurity within discrete manufacturing, specifically focusing on areas such as threat modeling, anomaly detection, and predictive defense strategies. The study also discusses the major challenges of implementing digital transformation and outlines future research directions to strengthen cybersecurity resilience in innovative manufacturing settings. References Issue
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