Real-Time Monitoring and Anomaly Detection in Hospital IoT Networks Using Machine Learning

The study covers the vital aspect of strong abnormality detection systems on IoT hospital networks that do not have enough resources available. The study evaluated the effectiveness of four different algorithms- namely, QAE, WOA, PSO-DL, and DL-AD-in improving network security. It aimed at enhancing...

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Veröffentlicht in:	2023 International Conference on Artificial Intelligence for Innovations in Healthcare Industries (ICAIIHI) Jg. 1; S. 1 - 8
Hauptverfasser:	Ranjith Kumar, G, Govekar, Navnath Sopan, Karthik, A, Nijhawan, Ginni, Alawadi, Ahmed Hussien, V, Asha
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	IEEE 29.12.2023
Schlagworte:	Anomaly Detection Healthcare IoT Hospitals Intrusion detection Network security Particle Swarm Optimization Performance evaluation Quantization (signal) Quantized Autoencoder Resource- Constrained Networks Smart healthcare Technological innovation
Online-Zugang:	Volltext
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