Physical Layer Message Prediction for 5G Radio Access Network Protocols
This addresses security research for 5G mobile communication systems, but it is incremental as it applies existing methods to a new domain.
The paper tackles the problem of reverse engineering 5G radio access network protocols by predicting physical layer messages, achieving results through a Transformer model trained on an open-source 5G system implementation.
Protocol reverse engineering stands as the cutting-edge approach in security research. This paper presents a framework capable of reverse engineering the communications within a mobile communication system. Our focus is on systems released by the 3GPP, with an emphasis on 5G NR. Our approach leverages the available context and syntax of the 5G standard to predict subsequent messages. This approach relies on a Transformer model and is trained based on an open-source 5G system implementation, emulating a base station and several user equipments. The prediction targets messages at the physical layer.