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Diseño de un sistema de vulnerabilidades dockerizado en 5G

Sep 2026 · Jornadas de Automática · 0 citations

TL;DR

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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