Title: A secure health monitoring system based on fog to cloud computing

Authors: Hafida Saidi; Nabila Labraoui; Ado Adamou Abba Ari

Addresses: STIC Lab, University of Abou Bekr Belkaid, Chetouane Tlemcen 13000, Algeria ' LRI Lab, University of Abou Bekr Belkaid, Tlemcen 13000, Algeria ' DAVID Lab, Université Paris-Saclay, University of Versailles Saint-Quentin-en-Yvelines, 45 Avenue des États-Unis, 78035 Versailles Cedex, France; Department of Computer Science, University of Maroua, P.O. Box 814, Maroua, Cameroon

Abstract: Nowadays, the elderly can receive care in their home and enable physicians to follow their diseases in real-time. However, these technologies suffer from several issues like security and privacy-preserving data challenges. In this paper, we proposed a HIPAA-compliant framework that enables security and privacy-preserving medical data based on fog-to-cloud (F2C) computing. Our aims are to define a system that solves the privacy and security issues with remote elderly monitoring. The F2C infrastructure is used to provide better security of medical data and allow a real-time diagnosis of the elderly. Furthermore, F2C combines the benefits of cloud and fog computing such as providing permanent storage, reducing computation load and data transmission delay, and enhancing the security challenges. Simulation results suggest that F2C technology delivers better performance in terms of latency, cost, and energy consumption.

Keywords: elderly healthcare; wearable sensors; fog to cloud computing; AES-ECC encryption; internet of medical things; IoMT.

DOI: 10.1504/IJMEI.2025.143283

International Journal of Medical Engineering and Informatics, 2025 Vol.17 No.1, pp.30 - 43

Received: 11 Jan 2022
Accepted: 09 Jul 2022
Published online: 12 Dec 2024 *

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