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...
| Main Authors: | , , , , |
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| Format: | Article |
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Middle Technicle University
2023
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| Online Access: | http://psasir.upm.edu.my/id/eprint/106429/ |
| _version_ | 1848864762436255744 |
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| author | Qahtan, Sarah Yatim, Khaironi Osman, Mohd Hafeez Zulzalil, Hazura Mahamad Zakaria, Muhammad Luqman |
| author_facet | Qahtan, Sarah Yatim, Khaironi Osman, Mohd Hafeez Zulzalil, Hazura Mahamad Zakaria, Muhammad Luqman |
| author_sort | Qahtan, Sarah |
| building | UPM Institutional Repository |
| collection | Online Access |
| 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. |
| first_indexed | 2025-11-15T13:53:58Z |
| format | Article |
| id | upm-106429 |
| institution | Universiti Putra Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-15T13:53:58Z |
| publishDate | 2023 |
| publisher | Middle Technicle University |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | upm-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 |
| 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 |
| title | 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_short | 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 |
| url | http://psasir.upm.edu.my/id/eprint/106429/ http://psasir.upm.edu.my/id/eprint/106429/ http://psasir.upm.edu.my/id/eprint/106429/ |