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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| Principais autores: | , , , , , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado: |
SpringerOpen
2025-11-01
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| Series: | Journal of Cloud Computing: Advances, Systems and Applications |
| Assuntos: | |
| Acceso en liña: | https://doi.org/10.1186/s13677-025-00785-2 |
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