Datasets for distributed denial-of-service detection in healthcare Internet of Things environments
Published in Data in Brief, 2025
Recommended citation: Mirza Akhi, Ciarán Eising, and Lubna Luxmi Dhirani. (2025). "Datasets for distributed denial-of-service detection in healthcare internet of things environments." Data in Brief. https://www.sciencedirect.com/science/article/pii/S2352340925009436
This paper presents datasets for DDoS attack detection in 5G-enabled Healthcare-IoT (H-IoT) environments. The datasets include realistic network traffic patterns generated from H-IoT devices such as body temperature, heart rate, and oxygen sensors using the Cooja and NS-3 simulators. They comprise labelled traffic samples representing both normal and malicious behaviour. The datasets facilitate the development and evaluation of machine learning-based and deep learning-based cybersecurity methods for H-IoT research and broader IoT intrusion detection applications.
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Recommended citation:
‘Akhi, Mirza, Ciarán Eising, and Lubna Luxmi Dhirani. (2025). “Datasets for distributed denial-of-service detection in healthcare Internet of Things environments.” Data in Brief, 112222.’