An efficient data driven framework for intrusion detection in wireless sensor networks using deep learning
Abstract Wireless Sensor Networks (WSNs) are considered essential to distributed sensing in agricultural, health and industrial domains. Although WSNs have several advantages, they encounter profound cybersecurity threats owing to their processing capacities and small energy sources. In this researc...
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| Autores principales: | , , , , , , |
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| Formato: | Artigo |
| Lenguaje: | Inglês |
| Publicado: |
Nature Portfolio
2025-09-01
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| Colección: | Scientific Reports |
| Materias: | |
| Acceso en línea: | https://doi.org/10.1038/s41598-025-12867-x |
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