5G networks enable high-speed communication, low latency, and support for a large number of connected devices, but they also introduce serious security challenges due to advanced cyber-attacks. Traditional security systems are centralized and not capable of detecting real-time or zero-day attacks effectively. This project proposes a network-based trust management system for 5G networks that continuously monitors device behavior and assigns dynamic trust scores. Artificial Intelligence is used to detect abnormal and malicious activities in real time. To ensure data privacy, Federated Learning is applied, and Blockchain technology is used to securely store trust values. Malicious nodes are identified and isolated to prevent further damage. Overall, the system improves security, reliability, and real-time attack detection in advanced 5G networks.
Panchetti et al. (Wed,) studied this question.