Towards Zero Touch Networks: Cross-Layer Automated Security Solutions for 6G Wireless Network

The evolution toward 6G wireless networks introduces unprecedented demands for ultra-low latency, high data rates, and large-scale device connectivity. To meet these challenges, Zero- Touch Networks (ZTNs) powered by Artificial Intelligence (AI) and Machine Learning (ML) are envisioned to automate network operations with minimal human intervention. However, this automation raises significant cybersecurity concerns due to the dynamic nature and complexity of 6G environments. The prevailing cyber defense mechanisms, which often rely on static configurations, human-dependent interventions, and handcrafted detection rules, are inherently inadequate for the dynamic and decentralized architecture of 6G.