An optimized graph neural network approach for robust and explainable IoT intrusion detection against adversarial attacks

Abstract The swift incorporation of cutting edge technologies has expanded the range for a potential adversary to conduct adaptive attacks against systems and despite progress in detection, machine learning based security remains vulnerable, highlighting the need for more robust and reliable defense...

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Hlavní autoři:	Uzma Ghulam Mohammad, Adil Afzal, Saleh Alghamdi, Anila Amjad, Saud Yonbawi, Muhammad Rizwan, Ovidiu Bagdasar, Kadar Manuella
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	Nature Portfolio 2026-05-01
Edice:	Scientific Reports
Témata:	Adversarial attack DeepFool Explainable AI Distributed-denial-of-services Intrusion detection system
On-line přístup:	https://doi.org/10.1038/s41598-026-48715-9
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