A Lightweight Language-Model-Driven Agentic Framework for Intrusion Prediction, Detection, and Mitigation in 6G-Enabled IoT Networks
A role-based multi-agent cybersecurity framework for 6G-enabled IoT networks that enables proactive intrusion prediction, real-time detection, and knowledge-driven threat mitigation and a promising step toward scalable and intelligent cybersecurity management in 6G-enabled IoT networks is proposed.