Date of Award
Winter 2025
Document Type
Thesis
Degree Name
Master of Science (MS)
Department
Psychology
Committee Director
Jeremiah D. Still
Committee Member
Ivan K. Ash
Committee Member
Xiao Yang
Abstract
Phishing has been a common problem in the world of cybersecurity for over a decade, leading to significant monetary and privacy losses. Phishing attacks commonly occur via email, but there has been a rise in a new form of phishing known as SMiShing. This attack vector occurs similarly to email phishing, except the malicious message is received via SMS text. While ways to mitigate phishing via email have been widely studied, there is a lack of research on SMiShing and ways to mitigate this problem from a human-centered approach. Interventions such as digital nudges have been successfully applied to phishing via email. However, there is a need to study how they can be used in the SMiShing context. Nudge types can be classified based on the dual processing system as being automatic or reflective by design. Research on designing nudges for cybersecurity-related issues suggests user motivation levels affect a nudge’s success. This study explored the effectiveness of two types of nudge interventions (ambient feedback, just-in-time prompt) to determine if an automatic or reflective style nudge better aids users in detecting malicious text messages and how individual motivation levels affect the nudges’ success. It was found that nudge type had no significant effect on SMiShing identification. Avoidance motivation was shown to have a positive correlation with overall SMiShing identification and a positive correlation with SMiShing identification for the reflective style nudge.
Rights
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DOI
https://doi.org/10.25777/06qd-0096
ISBN
9798197810021
Recommended Citation
Edwards, Morgan E..
"Exploring Automatic and Reflective Nudges for Smishing"
(2025). Master of Science (MS), Thesis, Psychology, Old Dominion University, DOI: https://doi.org/10.25777/06qd-0096
https://digitalcommons.odu.edu/psychology_etds/859