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A decision cloud ranking approach based on privacy and security in blockchain E-Health Industry 4.0 systems

E-health Industry 4.0 systems ranking based on Blockchain is a multi-criteria decision-making (MCDM) problem, considering the multiple evaluation properties, their significance, and data variety. The final closeness between the evaluation sample and ideal solutions also constitutes an optimisation p...

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Main Authors:	Qahtan, Sarah, Yatim, Khaironi, Osman, Mohd Hafeez, Zulzalil, Hazura, Mahamad Zakaria, Muhammad Luqman
Format:	Article
Published:	Middle Technicle University 2023
Online Access:	http://psasir.upm.edu.my/id/eprint/106429/ https://journal.mtu.edu.iq/index.php/MTU/article/view/1464
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id	my.upm.eprints.106429
record_format	eprints
spelling	my.upm.eprints.1064292024-09-26T07:50:54Z http://psasir.upm.edu.my/id/eprint/106429/ A decision cloud ranking approach based on privacy and security in blockchain E-Health Industry 4.0 systems Qahtan, Sarah Yatim, Khaironi Osman, Mohd Hafeez Zulzalil, Hazura Mahamad Zakaria, Muhammad Luqman E-health Industry 4.0 systems ranking based on Blockchain is a multi-criteria decision-making (MCDM) problem, considering the multiple evaluation properties, their significance, and data variety. The final closeness between the evaluation sample and ideal solutions also constitutes an optimisation problem. To the authors knowledge, no study has provided a multi-privacy and security ranking approach solution for E-health Industry 4.0 systems based on Blockchain. Consequently, this study proposes and discusses a multi-privacy and security ranking approach solution for E-health Industry 4.0 systems, utilising the SFS-FWZIC method to address the significance of properties issue and the Grey-TOPSIS method to tackle data variation, multiple evaluation properties, and the ideal solutions optimisation problem. The methodology of the proposed approach consists of three sections. First, three decision matrices are constructed based on the intersection of E-health systems with the mentioned properties, intersecting Electronic Health Records (EHRs), Electronic Medical Records (EMRs), and Personal Health Records (PHRs) with seven properties. Second, the weights of each privacy and security property are calculated using the SFS-FWZIC method. Finally, the weights determined by the SFS-FWZIC method and the three decision matrices are input into the Grey-TOPSIS method to rank E-health systems across the three categories. The findings reveal the following: (1) The SFS-FWZIC method effectively assigned weights to privacy and security properties, with access control achieving the highest significance weight (0.1934) and Secure-search receiving the lowest weight (0.0603). (2) The Grey-TOPSIS method efficiently ranked E-health systems across the three categories based on various parameters, including ±=0.1,±=0.3,±=0.5,±=0.7, and ±=0.9. Sensitivity and correlation analysis were conducted to evaluate the results, revealing high correlation results based on each ± value across all discussed scenarios of changing property weights. The implications of this study can lead to better decision-making, improved security and privacy, increased competition, and widespread adoption, ultimately contributing to more efficient and effective healthcare delivery. Middle Technicle University 2023-12-31 Article PeerReviewed Qahtan, Sarah and Yatim, Khaironi and Osman, Mohd Hafeez and Zulzalil, Hazura and Mahamad Zakaria, Muhammad Luqman (2023) A decision cloud ranking approach based on privacy and security in blockchain E-Health Industry 4.0 systems. Journal of Techniques, 5 (4). pp. 1-15. ISSN 2708-8383 https://journal.mtu.edu.iq/index.php/MTU/article/view/1464 10.51173/jt.v5i4.1464
institution	Universiti Putra Malaysia
building	UPM Library
collection	Institutional Repository
continent	Asia
country	Malaysia
content_provider	Universiti Putra Malaysia
content_source	UPM Institutional Repository
url_provider	http://psasir.upm.edu.my/
description	E-health Industry 4.0 systems ranking based on Blockchain is a multi-criteria decision-making (MCDM) problem, considering the multiple evaluation properties, their significance, and data variety. The final closeness between the evaluation sample and ideal solutions also constitutes an optimisation problem. To the authors knowledge, no study has provided a multi-privacy and security ranking approach solution for E-health Industry 4.0 systems based on Blockchain. Consequently, this study proposes and discusses a multi-privacy and security ranking approach solution for E-health Industry 4.0 systems, utilising the SFS-FWZIC method to address the significance of properties issue and the Grey-TOPSIS method to tackle data variation, multiple evaluation properties, and the ideal solutions optimisation problem. The methodology of the proposed approach consists of three sections. First, three decision matrices are constructed based on the intersection of E-health systems with the mentioned properties, intersecting Electronic Health Records (EHRs), Electronic Medical Records (EMRs), and Personal Health Records (PHRs) with seven properties. Second, the weights of each privacy and security property are calculated using the SFS-FWZIC method. Finally, the weights determined by the SFS-FWZIC method and the three decision matrices are input into the Grey-TOPSIS method to rank E-health systems across the three categories. The findings reveal the following: (1) The SFS-FWZIC method effectively assigned weights to privacy and security properties, with access control achieving the highest significance weight (0.1934) and Secure-search receiving the lowest weight (0.0603). (2) The Grey-TOPSIS method efficiently ranked E-health systems across the three categories based on various parameters, including ±=0.1,±=0.3,±=0.5,±=0.7, and ±=0.9. Sensitivity and correlation analysis were conducted to evaluate the results, revealing high correlation results based on each ± value across all discussed scenarios of changing property weights. The implications of this study can lead to better decision-making, improved security and privacy, increased competition, and widespread adoption, ultimately contributing to more efficient and effective healthcare delivery.
format	Article
author	Qahtan, Sarah Yatim, Khaironi Osman, Mohd Hafeez Zulzalil, Hazura Mahamad Zakaria, Muhammad Luqman
spellingShingle	Qahtan, Sarah Yatim, Khaironi Osman, Mohd Hafeez Zulzalil, Hazura Mahamad Zakaria, Muhammad Luqman A decision cloud ranking approach based on privacy and security in blockchain E-Health Industry 4.0 systems
author_facet	Qahtan, Sarah Yatim, Khaironi Osman, Mohd Hafeez Zulzalil, Hazura Mahamad Zakaria, Muhammad Luqman
author_sort	Qahtan, Sarah
title	A decision cloud ranking approach based on privacy and security in blockchain E-Health Industry 4.0 systems
title_short	A decision cloud ranking approach based on privacy and security in blockchain E-Health Industry 4.0 systems
title_full	A decision cloud ranking approach based on privacy and security in blockchain E-Health Industry 4.0 systems
title_fullStr	A decision cloud ranking approach based on privacy and security in blockchain E-Health Industry 4.0 systems
title_full_unstemmed	A decision cloud ranking approach based on privacy and security in blockchain E-Health Industry 4.0 systems
title_sort	decision cloud ranking approach based on privacy and security in blockchain e-health industry 4.0 systems
publisher	Middle Technicle University
publishDate	2023
url	http://psasir.upm.edu.my/id/eprint/106429/ https://journal.mtu.edu.iq/index.php/MTU/article/view/1464
_version_	1811685935058780160
score	13.211869

A decision cloud ranking approach based on privacy and security in blockchain E-Health Industry 4.0 systems

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