Securing Industrial IoT Environments: A Fuzzy Graph Attention Network for Robust Intrusion Detection

The Industrial Internet of Things (IIoT) faces significant cybersecurity threats due to its ever-changing network structures, diverse data sources, and inherent uncertainties, making robust intrusion detection crucial. Conventional machine learning methods and typical Graph Neural Networks (GNNs) of...

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Bibliographic Details
Published in:IEEE Open Journal of the Computer Society
Main Authors: Safa Ben Atitallah, Maha Driss, Wadii Boulila, Anis Koubaa
Format: Article
Language:English
Published: IEEE 2025-01-01
Subjects:
Attention mechanisms
fuzzy logic
GNNs
industrial IoT
intrusion detection
Online Access:https://ieeexplore.ieee.org/document/11075530/

Internet

https://ieeexplore.ieee.org/document/11075530/

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