DDoS Attacks in 5G-V2X Networks – Multi-Scenario

This dataset provides packet traces captured in a realistic 5G Vehicle-to-Everything (5G-V2X) environment, encompassing both legitimate vehicular communications and Distributed Denial of Service (DDoS) attacks. By deploying four user equipments (UEs) under multiple attacker configurations, the collected captures reflect various DDoS types (TCP SYN, UDP, and mixed) and reveal their impact on 5G-V2X networks. The dataset is further enriched with Argus files and CSV feature tables, facilitating data-driven approaches such as Machine Learning (ML)-based detection agents. Researchers can leverage these traces for creating or benchmarking ML-based security mechanisms, including Federated learning (FL) agents, for broader assessments of vehicular networking and resource management in 5G.