Fuzzy Based Decision-Making Approach for Estimating Usable-Security of Healthcare Web Applications
Source abstract
Abstract
Usability and security are often considered contradictory in nature. One has a negative impact on the other. In order to satisfy the needs of users with the security perspective, the relationship and trade-offs among security and usability must be distinguished. Security practitioners are working on developing new approaches that would help to secure healthcare web applications as well increase usability of the web applications. In the same league, the present research endeavour is premised on the usable-security of healthcare web applications. For a compatible blend of usability and security that would fulfill the users’ requirments, this research proposes an integration of the Fuzzy AHP-TOPSIS method for assessing usable-security of healthcare web applications. Since the estimation of security-usability accrately is also a decision making problem, the study employs Multiple Criteria Decision Analysis (MCDA) for selecting the most decisive attributes of usability as well as security. Furthermore, this study also pinpoints the highest priority attributes that can strengthen the usable-security of the healthcare web applications. The effectiveness of the suggested method has been tested on the healthcare web applications of local hospitals in Mecca, Saudi Arabia. The results corroborate that Fuzzy AHP-TOPSIS is indeed a reliable technique that will help the developers to design a healthcare web applications that delivers optimum usable-security.
Source: openalex_inverted_index · Quality: baseline
Research context
OpenAlex topics: Information and Cyber Security · User Authentication and Security Systems · Technology Adoption and User Behaviour
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
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