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KAN-MID: A Kolmogorov-Arnold Networks-Based Framework for Malicious URL and Intrusion Detection in IoT Systems

The growing sophistication of cyberattacks, especially with the ubiquity of the Internet of Things (IoT), highlights the urgent need for stronger detection and protection strategies. With millions of victims impacted by escalating threats and facing substantial financial repercussions, the importanc...

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Principais autores: Frederic Rizk, Rodrigue Rizk, Dominick Rizk, Patrick Rizk, Chee-Hung Henry Chu
Formato: Artigo
Idioma:Inglês
Publicado: IEEE 2025-01-01
Series:IEEE Access
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Acceso en liña:https://ieeexplore.ieee.org/document/11146737/
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