A novel IoT threat detection using GWO feature selection and CNN-enhanced LightGBM

Abstract The rush to deploy IoT devices has greatly increased the threat of cyberattacks. Although prevention methods enhance security, they remain insufficient. Intrusion Detection Systems (IDS) represent a crucial complementary line of defense for IoT networks. In this paper, we propose a novel ID...

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Autors principals:	Tarek Abid, Ahmed Ahmim, Faiz Maazouzi, Djalel Chefrour, Insaf Ullah, Marwa Ahmim, Reham Almukhlifi
Format:	Artigo
Idioma:	Inglês
Publicat:	SpringerOpen 2025-11-01
Col·lecció:	Journal of Cloud Computing: Advances, Systems and Applications
Matèries:	Intrusion detection IDS IoT GWO LightGBM CNN
Accés en línia:	https://doi.org/10.1186/s13677-025-00785-2
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