Security and Optimization in IoT Networks Using AI-Powered Digital Twins

Abstract

This study explores new ways to make IoT networks more secure and efficient by using advanced digital twin technology. The proposed system, named dynamic network resilience and optimization (DNRO), addresses the challenges of securing and making IoT systems work better. Traditional methods sometimes struggle with the complexity of connected devices, so a creative solution is needed. DNRO, the new approach, uses dynamic modeling, real-time monitoring, and smart response methods to make sure IoT networks are strong and work well. This research is important for improving how we manage IoT networks, offering a strong foundation to protect data and make sure everything runs smoothly despite new challenges and changes in the network.