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Data Collector: Judit Cerdà Izquierdo
MARE Partner: Universitat Politècnica de Catalunya (UPC)
Description: This dataset was derived from a fully Docker‑based Beyond‑5G network testbed. The testbed comprises distinct domains (RAN, Control Plane, User Plane, NPN, and Security Plane) interconnected by networking nodes. Within this environment, traffic data were collected under two conditions: normal operation and during a simulated DDoS attack.
Enriched 5G DDoS Detection Dataset: A flow-level dataset containing 100,876 labelled records collected from a containerized Beyond-5G standalone testbed. The dataset combines network traffic features, application-layer statistics, 5G control-plane signalling indicators, and infrastructure telemetry from monitored network functions. It includes both normal operational traffic and a DNS DDoS attack scenario, providing a comprehensive benchmark for machine learning, anomaly detection, and cybersecurity research in 5G/6G environments.
Co-funded by the European Union
MARE project has received funding from the Smart Networks and Services Joint Undertaking (SNS JU) under the European Union’s Horizon Europe research and innovation programme under Grant Agreement No 101191436
