AI-Powered Threat Detection and Response for Future 6G Networks
Rajesh Kanna Rajendran, S. B. Mahalakshmi, T. Mohana Priya, R. Sakkaravarthi, S. Poorana Senthilkumar, A. Muthusamy · Advances in wireless technologies and telecommunication book series · 2025
As 6G networks come into existence, there will be ultra-low latency, high bandwidth, seamless integration of billions of devices, and a revolution of connectivity. But with these great strides, new challenges about the securing of these systems against very sophisticated cyber attacks have come up. This book discusses how AI can benefit the 6G system to detect and respond threats better. Through the utilization of AI algorithms, machine learning, and deep learning, 6G networks will autonomously identify and mitigate security risks in real time while adapting to dynamic and ever-evolving attack vectors. AI systems can monitor network traffic in real-time, analyze anomalies, and predict possible vulnerabilities before they are exploited, hence reducing the detection-to-mitigation cycle. As 6G networks become more complex and pervasive, AI will become an indispensable component in maintaining security and enabling a trustworthy digital ecosystem, thereby becoming a core component of the future network defense.