Security Mental Model: Cognitive map approach
Tahani Albalawi, Kambiz Ghazinour, and Austin Melton

TL;DR
This paper explores how users' mental models influence security decision-making, using cognitive maps and crowdsourcing to better understand human factors in security systems.
Contribution
It introduces a novel approach combining cognitive maps and crowdsourcing to elicit and analyze users' security mental models.
Findings
Users' mental models significantly impact security behavior
Crowdsourcing effectively captures diverse security perceptions
The approach aids in designing more user-centric security models
Abstract
Security models have been designed to ensure data is accessed and used in proper manner according to the security policies. Unfortunately, human role in designing security models has been ignored. Human behavior relates to many security breaches and plays a significant part in many security situations.In this paper, we study users' security decision making toward security and usability through the mental model approach. To elicit and depict users' security and usability mental models, crowd sourcing techniques and cognitive map method are applied and we have performed an experiment to evaluate our findings using Amazon MTurk.
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Taxonomy
TopicsSpam and Phishing Detection · Information and Cyber Security · User Authentication and Security Systems
