Energy-Efficient IoT e-Health Using Artificial Intelligence Model with Homomorphic Secret Sharing

Amjad Rehman,Jaime Lloret,Khalid Haseeb,Tanzila Saba,Souad Larabi Marie-Sainte

doi:10.3390/en14196414

Amjad Rehman, Jaime Lloret + Show 3 more

Open Access

https://doi.org/10.3390/en14196414

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Abstract

Internet of Things (IoT) is a developing technology for supporting heterogeneous physical objects into smart things and improving the individuals living using wireless communication systems. Recently, many smart healthcare systems are based on the Internet of Medical Things (IoMT) to collect and analyze the data for infectious diseases, i.e., body fever, flu, COVID-19, shortness of breath, etc. with the least operation cost. However, the most important research challenges in such applications are storing the medical data on a secured cloud and make the disease diagnosis system more energy efficient. Additionally, the rapid explosion of IoMT technology has involved many cyber-criminals and continuous attempts to compromise medical devices with information loss and generating bogus certificates. Thus, the increase in modern technologies for healthcare applications based on IoMT, securing health data, and offering trusted communication against intruders is gaining much research attention. Therefore, this study aims to propose an energy-efficient IoT e-health model using artificial intelligence with homomorphic secret sharing, which aims to increase the maintainability of disease diagnosis systems and support trustworthy communication with the integration of the medical cloud. The proposed model is analyzed and proved its significance against relevant systems.

Highlights

Published: 7 October 2021Internet of Things plays a vital role in information gathering with the help of batterypowered sensors and transmits the patients’ data to end-users [1,2,3]
Since medical data is based on tier structure [15,16] and Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations
We present an energy-efficient Internet of Things (IoT) e-health model using artificial intelligence with homomorphic secret sharing, which aims to improve the data transferring in medical applications with energy-saving and reliability

Summary

Introduction

Internet of Things plays a vital role in information gathering with the help of batterypowered sensors and transmits the patients’ data to end-users [1,2,3] They are collaborating with computing devices to diagnosis different inflectional diseases and issues of public health such as typhoid, malaria, blood pressure, etc. Many solutions have been presented to initially analyze the medical symptoms using constraint-oriented IoMT biosensors and support different services on emergency cases [7,8,9] These medical sensors are directly communicated with a local coordinator and further collaborate with sink nodes to send health data to the public cloud [10,11,12]. Since medical data is based on tier structure [15,16] and Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations

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