Open Access

ARTICLE

Hesitant Fuzzy-Sets Based Decision-Making Model for Security Risk Assessment

Ahmed S. Alfakeeh¹, Abdulmohsen Almalawi², Fawaz Jaber Alsolami², Yoosef B. Abushark², Asif Irshad Khan^2,*, Adel Aboud S. Bahaddad¹, Alka Agrawal³, Rajeev Kumar⁴, Raees Ahmad Khan³

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 Information Technology, Babasaheb Bhimrao Ambedkar University, Lucknow, 226025, Uttar Pradesh, India
4 Department of Computer Applications, Shri Ramswaroop Memorial University, Lucknow-Deva Road, Barabanki, 225003, Uttar Pradesh, India

* Corresponding Author: Asif Irshad Khan. Email:

(This article belongs to this Special Issue: Emerging Trends and Real-World Applications of Intelligent Computing Techniques)

Computers, Materials & Continua 2022, 70(2), 2297-2317. https://doi.org/10.32604/cmc.2022.020146

Received 10 May 2021; Accepted 11 June 2021; Issue published 27 September 2021

Abstract

Security is an important component in the process of developing healthcare web applications. We need to ensure security maintenance; therefore the analysis of healthcare web application's security risk is of utmost importance. Properties must be considered to minimise the security risk. Additionally, security risk management activities are revised, prepared, implemented, tracked, and regularly set up efficiently to design the security of healthcare web applications. Managing the security risk of a healthcare web application must be considered as the key component. Security is, in specific, seen as an add-on during the development process of healthcare web applications, but not as the key problem. Researchers must ensure that security is taken into account right from the earlier developmental stages of the healthcare web application. In this row, the authors of this study have used the hesitant fuzzy-based AHP-TOPSIS technique to estimate the risks of various healthcare web applications for improving security-durability. This approach would help to design and incorporate security features in healthcare web applications that would be able to battle threats on their own, and not depend solely on the external security of healthcare web applications. Furthermore, in terms of healthcare web application's security-durability, the security risk variable is measured, and vice versa. Hence, the findings of our study will also be useful in improving the durability of several web applications in healthcare.

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