Network and Physical Layer Attacks and countermeasures to AI-Enabled 6G O-RAN
It addresses security challenges for future 6G cellular networks, which is an incremental contribution as it builds on pre-standardization efforts.
This paper examines security threats to AI-driven 6G radio access networks, particularly in the Open RAN architecture, by identifying critical threats at the network and physical layers and proposing corresponding countermeasures and research directions.
Artificial intelligence (AI) will play an increasing role in cellular network deployment, configuration and management. This paper examines the security implications of AI-driven 6G radio access networks (RANs). While the expected timeline for 6G standardization is still several years out, pre-standardization efforts related to 6G security are already ongoing and will benefit from fundamental and experimental research. The Open RAN (O-RAN) describes an industry-driven open architecture and interfaces for building next generation RANs with AI control. Considering this architecture, we identify the critical threats to data driven network and physical layer elements, the corresponding countermeasures, and the research directions.