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Sustainable-Security Assessment Through a Multi Perspective Benchmarking Framework

by Ahmed Saeed Alfakeeh1, Abdulmohsen Almalawi2, Fawaz Jaber Alsolami2, Yoosef B. Abushark2, Asif Irshad Khan2,*, Adel Aboud S. Bahaddad1, Md Mottahir Alam3, Alka Agrawal4, Rajeev Kumar5, Raees Ahmad Khan4

1 Department of Information Systems, Faculty of Computing and Information Technology, King Abdulaziz University, Jeddah, 21589, Saudi Arabia
2 Department of Computer Science, Faculty of Computing and Information Technology, King Abdulaziz University, Jeddah, 21589, Saudi Arabia
3 Department of Electrical and Computer Engineering, Faculty of Engineering, King Abdulaziz University, Jeddah, 21589, Saudi Arabia
4 Department of Information Technology, Babasaheb Bhimrao Ambedkar University, Lucknow-226025, Uttar Pradesh, India
5 Department of Computer Science and Engineering, Babu Banarasi Das University, Lucknow-226028, Uttar Pradesh, India

* Corresponding Author: Asif Irshad Khan. Email: email

(This article belongs to the Special Issue: Advances in Artificial Intelligence and Machine learning in Biomedical and Healthcare Informatics)

Computers, Materials & Continua 2022, 71(3), 6011-6037. https://doi.org/10.32604/cmc.2022.024903

Abstract

The current cyber-attack environment has put even the most protected systems at risk as the hackers are now modifying technologies to exploit even the tiniest of weaknesses and infiltrate networks. In this situation, it's critical to design and construct software that is both secure and long-lasting. While security is the most well-defined aspect of health information software systems, it is equally significant to prioritise sustainability because any health information software system will be more effective if it provides both security and sustainability to the customers at the same time. In this league, it is crucial to determine those characteristics in the systems that can help in the accurate assessment of the sustainable-security of the health information software during the development stage. This research work employed the Fuzzy Analytic Network Process (Fuzzy ANP) to estimate the impact of the overall sustainable-security of health information software systems and their characteristics in order to achieve a high level of sustainable-security. Furthermore, the study validates the efficacy of the Fuzzy ANP procedure by testing it on five different versions of a health information software system through Fuzzy Technique for Order of Preference by Similarity to Ideal Solutions (Fuzzy TOPSIS). Despite the sensitivity of the health information software systems, this study employed multiple versions of health information software system. When compared with the existing procedures for testing the sustainable-security of health information software systems, the outcomes were conclusive and significantly more effective. Besides saving time and resources, the mechanism suggested in this research work aims to establish an outline that software practitioners can follow to enhance the sustainable-security of health information software systems.

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Cite This Article

APA Style
Alfakeeh, A.S., Almalawi, A., Alsolami, F.J., Abushark, Y.B., Khan, A.I. et al. (2022). Sustainable-security assessment through a multi perspective benchmarking framework. Computers, Materials & Continua, 71(3), 6011-6037. https://doi.org/10.32604/cmc.2022.024903
Vancouver Style
Alfakeeh AS, Almalawi A, Alsolami FJ, Abushark YB, Khan AI, Bahaddad AAS, et al. Sustainable-security assessment through a multi perspective benchmarking framework. Comput Mater Contin. 2022;71(3):6011-6037 https://doi.org/10.32604/cmc.2022.024903
IEEE Style
A. S. Alfakeeh et al., “Sustainable-Security Assessment Through a Multi Perspective Benchmarking Framework,” Comput. Mater. Contin., vol. 71, no. 3, pp. 6011-6037, 2022. https://doi.org/10.32604/cmc.2022.024903



cc Copyright © 2022 The Author(s). Published by Tech Science Press.
This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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