Physical Layer Message Prediction for 5G Radio Access Network Protocols

The collection includes multiple papers with direct security implications for modern telecom and networked systems. Most notable: (1) an eBPF-focused vulnerability analysis demonstrating practical attack scenarios against containerized, eBPF-enabled 5G core deployments (tracing abuse, DoS, data exfiltration, and bash injection) with step-by-step exploits and public proof-of-concept code; (2) a Transformer-based physical-layer message prediction framework that reverse-engineers 5G NR protocol messages at the physical layer, enabling protocol inference and potential traffic manipulation or de-an