A Survey on Digital Twin: From Industrial Applications to Cybersecurity

Digital twin technology is swiftly advancing due to its transformative potential to reshape various sectors. However, despite its vast possibilities, a full understanding of its applications remains limited. Digital twins involve creating virtual representations of physical assets, different systems, or processes, allowing real-time monitoring, predictive maintenance, and performance optimization. These digital replicas enable dynamic interaction between the physical and virtual worlds, supporting continuous data exchange and feedback loops. By utilizing advanced technologies such as sensors, IoT, and AI, digital twins can simulate and analyze real-world conditions, forecast future scenarios, and optimize operations with realtime insights. Industries use digital twins to simulate production processes, validate designs, and accelerate product development cycles. While existing research primarily focuses on the physical aspects of digital twins and their role within Industry 4.0, this survey aims to showcase the broader transformative potential of digital twins across diverse sectors, including manufacturing, IoT, 5G, blockchain, AI devices, healthcare, and energy. Additionally, it is the first survey to explore digital twin applications in cybersecurity, specifically in securing smart energy systems and cyber-physical systems. The study further examines the growing role of digital twins in boosting operational efficiency and driving innovation.