Anomaly detection in Internet of Things‑based healthcare using an AUC-optimized proximal SVM with clustering-guided differential evolution for hyperparameter tuning
Abstract The Internet of Things (IoT) makes it possible to monitor patients continuously through wearable, networked medical devices. Yet, the healthcare systems built with the use of IoT are extremely susceptible to cyberattacks, including denial-of-service, spoofing, and unauthorized access that g...
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| Principais autores: | , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
SpringerOpen
2026-07-01
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| coleção: | Journal of Engineering and Applied Science |
| Assuntos: | |
| Acesso em linha: | https://doi.org/10.1186/s44147-026-01114-3 |
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