The main objective is not to exhaustively evaluate each vulnerability, but to document a reproducible environment for generating useful traffic to evaluate IDS and machine learning models in private 5G networks.
Abstract
This paper presents the design of a testbed for the controlled generation of cybersecurity traffic in private 5G networks. The proposal combines a Firecell Labkit 40 infrastructure, radio connectivity, and a host machine running Dockerised vulnerable services based on Docker-Vulhub. The environment deploys known vulnerabilities, many of them documented through CVEs, routes the resulting traffic through the 5G SA network, and captures it from the core using tools such as tcpdump A proof of concept that captures a real attack against Apache Tomcat (CVE-2017-12615) from the core shows that the traffic is observable and reconstructable, and that a labelled dataset can be derived from it. The architecture is a modular and extensible basis for future dataset-generation campaigns. Its main objective is not to exhaustively evaluate each vulnerability, but to document a reproducible environment for generating useful traffic to evaluate IDS and machine learning models in private 5G networks.
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The rapid integration of Network Function Virtualization (NFV) in 5G-Advanced and 6G infrastructures has introduced significant security vulnerabilities, most notably in Distributed Denial-of-Service (DDoS) attacks. Modern DDoS threats have evolved into sophisticated multi- vector campaigns that leverage AI to bypass t...
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Software-Defined Networking (SDN) has emerged as a programmable networking paradigm that separates the control and data planes, enabling flexible and centralized network management while introducing new security challenges due to its software-based control architecture. However, this centralization of control, while ad...
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