Abstract:

Digital Twin technology in industrial control systems (ICS) has emerged as a powerful tool to enhance both the security and performance monitoring of complex industrial processes. By creating virtual replicas of physical systems, digital twins enable real-time monitoring, predictive analysis, and optimization of operations. This paper explores the integration of Digital Twin technology within ICS, focusing on its ability to improve security through anomaly detection, predictive maintenance, and efficient system performance. The research highlights how digital twins assist in identifying vulnerabilities, preventing cyber-attacks, and optimizing system operations in industrial environments. Additionally, the paper provides an overview of the methodologies, experimental setup, and results, followed by discussions on the future scope of digital twins in the industrial sector.

Description:

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