Problem
Research questions and friction points this paper is trying to address.
SMiShing
vulnerability
demographic factors
Who Falls for SMiSh? Learning Through Survey Data Where to Best Target Awareness Training for Mobile Messaging Attacks
🤖 AI Summary
研究通过大规模调查收集数据，发现年轻用户和大学生易受SMiShing攻击，并建议针对这些群体进行专门的意识培训和增加验证警告。
📝 Abstract
As mobile phone adoption has surged, so have scams involving these devices. One such scam, known as SMiShing (or smishing) after Short Message Service (SMS), involves fraudsters sending phishing links via mobile texts. Despite the prevalence of SMiShing, there is a lack of data on who is most vulnerable to these attacks. Prior research on phishing (its email counterpart) suggests that susceptibility may vary by demographic and contextual factors. In two large-scale surveys, we use a previously published simulation method to collect data from representative samples of U.S. adult mobile phone users. Our findings indicate that younger individuals and college students are particularly vulnerable. Participants struggled to correctly identify legitimate messages, with the second study providing comparisons of financial message variants. Researchers, regulators, and telecoms can help users by creating mobile-specific interventions for under-24 and university customers and adding verifications and warnings.
Innovation
Methods, ideas, or system contributions that make the work stand out.
SMiShing
vulnerability
demographic factors
intervention
mobile security
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