Sustainable-Security Assessment Through a Multi Perspective Benchmarking Framework
- 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:
(This article belongs to this Special Issue: Advances in Artificial Intelligence and Machine learning in Biomedical and Healthcare Informatics)
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:
(This article belongs to this Special Issue: Advances in Artificial Intelligence and Machine learning in Biomedical and Healthcare Informatics)
Received 03 November 2021; Accepted 07 December 2021; Issue published 14 January 2022
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.
Keywords
Sustainable-security; sustainable health information software systems; analytic network process; fuzzy logic
Cite This Article
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. CMC-Computers, Materials & Continua, 71(3), 6011–6037.
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