Cybersecurity Awareness Modeling Associated with Influential Factors Using AHP Technique: A Case of Railway Organizations in Thailand
Pana Ungkap, Therdpong Daengsi · 2022 International Conference on Decision Aid Sciences and Applications (DASA) · 2022
This study aims to create a method for identifying and evaluating the factors that impact Cybersecurity Awareness (CSA) of Internet users. Focusing on the employees in the railway organizations in Thailand, seven individual different factors, including attitude, cognitive, experience (in cyber-attacks), education and gender are used to determine and measure the factors associated with CSA of users. After conducting a decision-making technique called the Analytic Hierarchy Process (AHP), for deriving the weight of each factor, the study shows that the most important factor is cognitive, its weight is 26.23 %. While the weights of experience, degree (of education), behavior, finance and gender are 22.43 %, 16.41 %, 15.92 %, 10.13 %, 4.99 %, 3.90 % respectively. Therefore, the CSA model associated with those factors is introduced eventually.