AI-powered security for 5G and 6G communication networks

Abstract

AI-powered security for 5G and 6G communication networks is poised to revolutionize the protection of next-generation wireless infrastructures by leveraging advanced artificial intelligence and machine learning techniques to address complex and evolving threats. The rapid proliferation of connected devices, network virtualization, and distributed edge intelligence in 5G and 6G environments creates unprecedented vulnerabilities and a much broader attack surface, necessitating autonomous and robust solutions. AI-driven security frameworks offer adaptive intrusion and anomaly detection, automated incident response, privacy-preserving mechanisms, and predictive analytics that go far beyond traditional security approaches, enabling real-time threat mitigation across heterogeneous, large-scale environments. These networks also face unique challenges such as adversarial attacks on AI models, data poisoning, and the need for explainable, trustworthy AI to ensure compliance and operational resilience. The integration of federated learning, reinforcement learning, and zero-trust architectures demonstrates how AI can support scalable, dynamic, and transparent security operations, while future research will continue to expand the capabilities and address ethical, policy, and quantum-resistance issues. Ultimately, the fusion of AI and advanced communication technologies promises to secure digital societies with proactive, intelligent, and holistic defense strategies tailored for the demands of 5G and 6G networks.