Enhancing intrusion detection in wireless sensor networks using a Tabu search based optimized random forest
Abstract Intrusion detection in Wireless Sensor Networks (WSNs) is an emerging area of research, given their extensive use in sensitive fields like military surveillance, healthcare, environmental monitoring, and smart cities. However, WSNs face several security challenges due to their limited compu...
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| Principais autores: | , , , , , , , , |
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| Format: | Artigo |
| Sprog: | Inglês |
| Udgivet: |
Nature Portfolio
2025-05-01
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| Serier: | Scientific Reports |
| Fag: | |
| Online adgang: | https://doi.org/10.1038/s41598-025-03498-3 |
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