Dataset for DDoS Detection in 5G-Enabled Connected and Autonomous Vehicle Systems
Published in 2026 Global Conference on Wireless and Optical Technologies (GCWOT), 2026
Recommended citation: Mirza Akhi, Ciarán Eising, and Lubna Luxmi Dhirani. (2025). "Dataset for DDoS Detection in 5G-Enabled Connected and Autonomous Vehicle Systems" GCWOT2026. https://ieeexplore.ieee.org/abstract/document/11499550
This paper presents the UL-ECE-5G-AV-DDoS2025 dataset for analysing Distributed Denial-of-Service (DDoS) attacks in 5G-enabled Autonomous Vehicle (AV) environments. The dataset is generated using the CARLA simulator and includes both normal driving traffic and DDoS attack traffic under realistic 5G-connected scenarios. It contains vehicle telemetry and network-layer metrics, including GPS coordinates, speed, acceleration, steering, braking, and throughput-related features. The dataset supports reproducible benchmarking for Generative AI, machine learning, deep learning, and traffic-flow analysis in intelligent transportation systems.
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Recommended citation:
‘Akhi, Mirza, M. S. M. Bhuiyan, Antonio Ariza, and Lubna Luxmi Dhirani. (2026). “Dataset for DDoS Detection in 5G-Enabled Connected and Autonomous Vehicle Systems.” 2026 Global Conference on Wireless and Optical Technologies (GCWOT), 1-6.’