A new approach to modelling the effects of cognitive processing and threat detection on phishing susceptibility
作者：
Highlights：
• The model is theoretically grounded on the Elaboration Likelihood Model and examines more constructs than previous work.
• Excellent fit achieved.
• Analysis involves hypothesis testing and also examining of mediation and moderation effects.
• Accounts for 69.5% of an individual's Threat Detection, 50.8% of Elaboration can predict 28% of Phishing Susceptibility.
• Threat Detection accounts for strongest effect with regards to reducing phishing susceptibility as compared to Elaboration.
摘要
•The model is theoretically grounded on the Elaboration Likelihood Model and examines more constructs than previous work.•Excellent fit achieved.•Analysis involves hypothesis testing and also examining of mediation and moderation effects.•Accounts for 69.5% of an individual's Threat Detection, 50.8% of Elaboration can predict 28% of Phishing Susceptibility.•Threat Detection accounts for strongest effect with regards to reducing phishing susceptibility as compared to Elaboration.
论文关键词：Social engineering,Phishing,Elaboration,Threat detection,Elaboration likelihood model,Structural equation modelling
论文评审过程：Received 20 August 2018, Revised 7 December 2018, Accepted 21 December 2018, Available online 4 January 2019, Version of Record 25 January 2019.
论文官网地址：https://doi.org/10.1016/j.chb.2018.12.036
