The fifth generation of mobile broadband is more than just an evolution to provide more mobile bandwidth, massive machine-type communications, and ultra-reliable and low-latency communications. It relies on a complex, dynamic and heterogeneous environment that implies addressing numerous testing and security challenges. In this paper we present 5Greplay, an open-source 5G network traffic fuzzer that enables the evaluation of 5G components by replaying and modifying 5G network traffic by creating and injecting network scenarios into a target that can be a 5G core service (e.g., AMF, SMF) or a RAN network (e.g., gNodeB). The tool provides the ability to alter network packets online or offline in both control and data planes in a very flexible manner. The experimental evaluation conducted against open-source based 5G platforms, showed that the target services accept traffic being altered by the tool, and that it can reach up to 9.56 Gbps using only 1 processor core to replay 5G traffic.
@article{arxiv.2304.05719,
title = {5Greplay: a 5G Network Traffic Fuzzer -- Application to Attack Injection},
author = {Zujany Salazar and Huu Nghia Nguyen and Wissam Mallouli and Ana R Cavalli and Edgardo Montes de Oca},
journal= {arXiv preprint arXiv:2304.05719},
year = {2023}
}