Improved security for IoT-based remote healthcare systems using deep learning with jellyfish search optimization algorithm

Improved security for IoT-based remote healthcare systems using deep learning with jellyfish search optimization algorithm

Abstract With an increased chronic disease and an ageing population, remote health monitoring is a substantial method to enhance the care of patients and decrease healthcare expenses. The Internet of Things (IoT) presents a promising solution for remote health monitoring by collecting and analyzing...

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Bibliographic Details
Main Authors: Faris Kateb, Mahmoud Ragab, Felwa Abukhodair, Omar Ahmed Abdulkader, Louai A. Maghrabi, Sami Saeed Binyamin, Mohammed Khaled Al-Hanawi
Format: Article
Language:English
Published: Nature Portfolio 2025-04-01
Series:Scientific Reports
Subjects:
Internet of things
Deep learning
Jellyfish search optimizer
Human-centered systems
Healthcare
Bacterial foraging optimization algorithm
Online Access:https://doi.org/10.1038/s41598-025-97065-5
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https://doi.org/10.1038/s41598-025-97065-5

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