An Integration of Digital Twin and 6G Edge Computing Approach to Secure Cyber Physical Systems

The proposed architecture for the 6G Edge of Things (EoT) system integrates two distinct networks: the EoT network and the digital twin (DT) network. The EoT network consists of interconnected smart devices and sensors organized into layers of things, edges, and clouds. Edge computing nodes facilitate low-latency services, emergency responses, and real-time decision-making, while the central cloud layer manages resource-intensive tasks. The DT network creates a digital replica of the EoT network's edge layer, enabling real-time analysis and synchronization for enhanced security. A smart attack detection system is outlined, employing yang models for data representation, machine learning algorithms for threat detection, and an online learning module for continuous improvement. The system's robustness is evaluated through performance metrics and comparisons with alternative methods, demonstrating superior efficacy in detecting and mitigating various attacks. The proposed solution, empowered by digital twin technology, offers proactive cybersecurity measures to fortify 6G EoT networks against evolving threats, showcasing its potential to enhance network security and incident response times while adapting to dynamic operational environments.