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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...

Ausführliche Beschreibung

Gespeichert in:
Hauptverfasser: Zhou Yuan, Miao Yaofeng
Format: Artigo
Sprache:Inglês
Veröffentlicht: SpringerOpen 2026-07-01
Schriftenreihe:Journal of Engineering and Applied Science
Schlagworte:
IoT
Security
Anomaly detection
Area under the curve
Imbalanced classification
Hyperparameter optimization
Online-Zugang:https://doi.org/10.1186/s44147-026-01114-3
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