Improved Crow Search-Based Feature Selection and Ensemble Learning for IoT Intrusion Detection
Network intrusion detection in the Internet of Things (IoT) framework has posed considerable challenges in recent decades. A wide variety of machine-learning approaches are introduced in network intrusion detection. The existing methodologies commonly lack consistency in achieving optimal performanc...
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| Autors principals: | , , , , |
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| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
IEEE
2024-01-01
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| Col·lecció: | IEEE Access |
| Matèries: | |
| Accés en línia: | https://ieeexplore.ieee.org/document/10458125/ |
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