Open Access
ARTICLE
Estimating Usable-Security Through Hesitant Fuzzy Linguistic Term Sets Based Technique
1 Department of Computer Science, Faculty of Computing and Information Technology, King Abdulaziz University, Jeddah, 21589, Saudi Arabia
2 Department of Information Technology, Babasaheb Bhimrao Ambedkar University, Lucknow, 226025, Uttar Pradesh, India
* Corresponding Author: Raees Ahmad Khan. Email:
(This article belongs to the Special Issue: Emerging Applications of Artificial Intelligence, Machine learning and Data Science)
Computers, Materials & Continua 2022, 70(3), 5683-5705. https://doi.org/10.32604/cmc.2022.021643
Received 08 July 2021; Accepted 09 August 2021; Issue published 11 October 2021
Abstract
The apparent contradiction between usability and security has been discussed in the literature for several years. This continuous trade-off requires be acknowledging and handling whenever security solutions are introduced. However, some progressive analysts point out that present security solutions are usually very difficult for several users, and they have expressed a willingness to simplify the security product user experience. Usable security is still mostly unexplored territory in computer science. Which we are all aware with security and usability on many levels, usable security has received little operational attention. Companies have recently focused primarily on usable security. As consumers prefer to discard unsatisfactory solutions, attaining well-balanced degrees of both is a prerequisite for adequate security. Usability should be examined from the viewpoint of security to be properly assessed. The aim of this research study is to explore and discuss universally accepted and solution-independent factors influencing the perceived usable-security of institutional websites. An integrated Hesitant Fuzzy Linguistic term sets based technique was chosen as the methodology, and the experts and academicians opinion were collected. The use of predetermined selection criteria resulted in the compilation of statistical findings and were used to determine the usable-security of five different instituational websites.Keywords
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