Security Mental Model: Cognitive map approach
This addresses the gap in security model design by incorporating human behavior, which is incremental as it applies existing methods to a new aspect of security.
The paper tackled the problem of human factors in security breaches by studying users' security decision-making through mental models, using crowdsourcing and cognitive maps, and evaluated findings via an Amazon MTurk experiment.
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.