FedStatKD-IDS: A federated learning intrusion detection system with statistical normalization and knowledge distillation for IoT-based smart agriculture

The rapid expansion of the Internet of Things (IoT) in smart agriculture has enabled seamless connectivity among sensors, actuators, and farming devices, improving automation and efficiency in areas such as crop monitoring, irrigation, and livestock management. However, this growth also creates a la...

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Bibliographic Details

Main Authors:	Amir Muhammad Hafiz, Othman, Mohd Faizal, Ab Razak, Ahmad Firdaus, Zainal Abidin, Salwana, Mohamad, Abdullah, Mat Safri
Format:	Conference or Workshop Item
Language:	en
Published:	IEEE 2026
Subjects:	QA75 Electronic computers. Computer science
Online Access:	https://umpir.ump.edu.my/id/eprint/47693/1/FedStatKD-IDS-A%20federated%20learning%20intrusion%20detection%20system.pdf https://umpir.ump.edu.my/id/eprint/47693/ https://doi.org/10.1109/AGRETA68375.2025.11474184
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