Securing IoT Using Lightweight TCN for Edge Deployment on Raspberry Pi 4
Published in IEEE Open Journal of the Communications Society, 2025
Recommended citation: Mirza Akhi, Ciarán Eising, and Lubna Luxmi Dhirani. (2025). "Securing IoT Using Lightweight TCN for Edge Deployment on Raspberry Pi 4." IEEE Open Journal of the Communications Society. https://ieeexplore.ieee.org/abstract/document/11318643
This paper presents a lightweight Temporal Convolutional Network (TCN)-based method for edge deployment on Raspberry Pi 4 devices. The TCN-based approach leverages Healthcare-IoT (H-IoT) DDoS datasets and TensorFlow Lite (TFLite) optimization to enable efficient low-power attack detection in IoT environments. The deployment achieves high detection accuracy with low inference latency and power consumption on MQTT- and UDP-based datasets. The results demonstrate the feasibility of resource-efficient DDoS detection for IoT, IIoT, and H-IoT edge systems.
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Recommended citation:
‘Akhi, Mirza, Ciarán Eising, and Lubna Luxmi Dhirani. (2025). “Securing IoT Using Lightweight TCN for Edge Deployment on Raspberry Pi 4.” IEEE Open Journal of the Communications Society, 7, 442-460.’