5Greplay: a 5G Network Traffic Fuzzer - Application to Attack Injection

Zujany Salazar, H. Nguyen, Wissam Mallouli, A. Cavalli, Edgardo Montes de Oca
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引用次数: 14

Abstract

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.
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5Greplay: 5G网络流量模糊器-攻击注入应用程序
第五代移动宽带不仅仅是提供更多移动带宽、大规模机器类型通信以及超可靠和低延迟通信的演进。它依赖于一个复杂的、动态的和异构的环境,这意味着要解决大量的测试和安全挑战。在本文中,我们介绍了5Greplay,一个开源的5G网络流量模糊器,通过创建和注入网络场景到目标中,可以是5G核心服务(例如,AMF, SMF)或RAN网络(例如,gNodeB),通过重放和修改5G网络流量来评估5G组件。该工具提供了在控制平面和数据平面以非常灵活的方式在线或离线更改网络数据包的能力。针对基于开源的5G平台进行的实验评估表明,目标服务接受被该工具改变的流量,并且仅使用1个处理器核心即可重放5G流量,最高可达9.56 Gbps。
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