A Transformer-Based Autoencoder with Isolation Forest and XGBoost for Malfunction and Intrusion Detection in Wireless Sensor Networks for Forest Fire Prediction
Wireless Sensor Networks (WSNs) play a critical role in environmental monitoring and early forest fire detection. However, they are susceptible to sensor malfunctions and network intrusions, which can compromise data integrity and lead to false alarms or missed detections. This study presents a hybr...
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| Автори: | , |
|---|---|
| Формат: | Artigo |
| Мова: | Inglês |
| Опубліковано: |
MDPI AG
2025-04-01
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| Серія: | Future Internet |
| Предмети: | |
| Онлайн доступ: | https://www.mdpi.com/1999-5903/17/4/164 |
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