SEAR is the first cited multimodal dataset of AR-plus-LLM social engineering, showing high self-reported trust and click intentions in a 60-person lab study.
Breaching the Human Firewall: Social engineering in Phishing and Spear-Phishing Emails
1 Pith paper cite this work. Polarity classification is still indexing.
abstract
We examined the influence of three social engineering strategies on users' judgments of how safe it is to click on a link in an email. The three strategies examined were authority, scarcity and social proof, and the emails were either genuine, phishing or spear-phishing. Of the three strategies, the use of authority was the most effective strategy in convincing users that a link in an email was safe. When detecting phishing and spear-phishing emails, users performed the worst when the emails used the authority principle and performed best when social proof was present. Overall, users struggled to distinguish between genuine and spear-phishing emails. Finally, users who were less impulsive in making decisions generally were less likely to judge a link as safe in the fraudulent emails. Implications for education and training are discussed.
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SEAR: A Multimodal Dataset for Analyzing AR-LLM-Driven Social Engineering Behaviors
SEAR is the first cited multimodal dataset of AR-plus-LLM social engineering, showing high self-reported trust and click intentions in a 60-person lab study.