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Towards enhancing security of IoT-Enabled healthcare system

The Internet-of-Things (IoT)-based healthcare systems are comprised of a large number of networked medical devices, wearables, and sensors that collect and transmit data to improve patient care. However, the enormous number of networked devices renders these systems vulnerable to assaults. To addres...

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Autores principales: Irshad, Reyazur Rashid, Sohail, Shahab Saquib, Hussain, Shahid, Madsen, Dag Øivind, Zamani, Abu Sarwar, Ahmed, Abdallah Ahmed Alzupair, Alattab, Ahmed Abdu, Badr, Mohamed Mahdi, Alwayle, Ibrahim M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10687057/
https://www.ncbi.nlm.nih.gov/pubmed/38034697
http://dx.doi.org/10.1016/j.heliyon.2023.e22336
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author Irshad, Reyazur Rashid
Sohail, Shahab Saquib
Hussain, Shahid
Madsen, Dag Øivind
Zamani, Abu Sarwar
Ahmed, Abdallah Ahmed Alzupair
Alattab, Ahmed Abdu
Badr, Mohamed Mahdi
Alwayle, Ibrahim M.
author_facet Irshad, Reyazur Rashid
Sohail, Shahab Saquib
Hussain, Shahid
Madsen, Dag Øivind
Zamani, Abu Sarwar
Ahmed, Abdallah Ahmed Alzupair
Alattab, Ahmed Abdu
Badr, Mohamed Mahdi
Alwayle, Ibrahim M.
author_sort Irshad, Reyazur Rashid
collection PubMed
description The Internet-of-Things (IoT)-based healthcare systems are comprised of a large number of networked medical devices, wearables, and sensors that collect and transmit data to improve patient care. However, the enormous number of networked devices renders these systems vulnerable to assaults. To address these challenges, researchers advocated reducing execution time, leveraging cryptographic protocols to improve security and avoid assaults, and utilizing energy-efficient algorithms to minimize energy consumption during computation. Nonetheless, these systems still struggle with long execution times, assaults, excessive energy usage, and inadequate security. We present a novel whale-based attribute encryption scheme (WbAES) that empowers the transmitter and receiver to encrypt and decrypt data using asymmetric master key encryption. The proposed WbAES employs attribute-based encryption (ABE) using whale optimization algorithm behaviour, which transforms plain data to ciphertexts and adjusts the whale fitness to generate a suitable master public and secret key, ensuring security against unauthorized access and manipulation. The proposed WbAES is evaluated using patient health record (PHR) datasets collected by IoT-based sensors, and various attack scenarios are established using Python libraries to validate the suggested framework. The simulation outcomes of the proposed system are compared to cutting-edge security algorithms and achieved finest performance in terms of reduced 11 s of execution time for 20 sensors, 0.121 mJ of energy consumption, 850 Kbps of throughput, 99.85 % of accuracy, and 0.19 ms of computational cost.
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spelling pubmed-106870572023-11-30 Towards enhancing security of IoT-Enabled healthcare system Irshad, Reyazur Rashid Sohail, Shahab Saquib Hussain, Shahid Madsen, Dag Øivind Zamani, Abu Sarwar Ahmed, Abdallah Ahmed Alzupair Alattab, Ahmed Abdu Badr, Mohamed Mahdi Alwayle, Ibrahim M. Heliyon Research Article The Internet-of-Things (IoT)-based healthcare systems are comprised of a large number of networked medical devices, wearables, and sensors that collect and transmit data to improve patient care. However, the enormous number of networked devices renders these systems vulnerable to assaults. To address these challenges, researchers advocated reducing execution time, leveraging cryptographic protocols to improve security and avoid assaults, and utilizing energy-efficient algorithms to minimize energy consumption during computation. Nonetheless, these systems still struggle with long execution times, assaults, excessive energy usage, and inadequate security. We present a novel whale-based attribute encryption scheme (WbAES) that empowers the transmitter and receiver to encrypt and decrypt data using asymmetric master key encryption. The proposed WbAES employs attribute-based encryption (ABE) using whale optimization algorithm behaviour, which transforms plain data to ciphertexts and adjusts the whale fitness to generate a suitable master public and secret key, ensuring security against unauthorized access and manipulation. The proposed WbAES is evaluated using patient health record (PHR) datasets collected by IoT-based sensors, and various attack scenarios are established using Python libraries to validate the suggested framework. The simulation outcomes of the proposed system are compared to cutting-edge security algorithms and achieved finest performance in terms of reduced 11 s of execution time for 20 sensors, 0.121 mJ of energy consumption, 850 Kbps of throughput, 99.85 % of accuracy, and 0.19 ms of computational cost. Elsevier 2023-11-15 /pmc/articles/PMC10687057/ /pubmed/38034697 http://dx.doi.org/10.1016/j.heliyon.2023.e22336 Text en © 2023 The Authors https://creativecommons.org/licenses/by/4.0/This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Research Article
Irshad, Reyazur Rashid
Sohail, Shahab Saquib
Hussain, Shahid
Madsen, Dag Øivind
Zamani, Abu Sarwar
Ahmed, Abdallah Ahmed Alzupair
Alattab, Ahmed Abdu
Badr, Mohamed Mahdi
Alwayle, Ibrahim M.
Towards enhancing security of IoT-Enabled healthcare system
title Towards enhancing security of IoT-Enabled healthcare system
title_full Towards enhancing security of IoT-Enabled healthcare system
title_fullStr Towards enhancing security of IoT-Enabled healthcare system
title_full_unstemmed Towards enhancing security of IoT-Enabled healthcare system
title_short Towards enhancing security of IoT-Enabled healthcare system
title_sort towards enhancing security of iot-enabled healthcare system
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10687057/
https://www.ncbi.nlm.nih.gov/pubmed/38034697
http://dx.doi.org/10.1016/j.heliyon.2023.e22336
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