@inproceedings{02b9192b58bf45ff91dd73eb13b93f4f,
title = "User Perceptions of Phishing Consequence Severity and Likelihood, and Implications for Warning Message Design",
abstract = "To combat phishing, system messages warn users of suspected phishing attacks. However, users do not always comply with warning messages. One reason for non-compliance is that warning messages contradict how users think about phishing threats. To increase compliance, warning messages should align with user perceptions of phishing threat risks. How users think about phishing threats is not yet known. To identify how users perceive phishing threats, participants were surveyed about their perceptions of the severity and likelihood of 9 phishing consequences. Results revealed perceived severity and likelihood levels for each consequence, as well as relative differences between consequences. Concrete examples of warning messages that reflect these findings are provided.",
keywords = "Consequence, Cybersecurity, Human factors, Likelihood, Message, Phishing, Risk, Severity, Social engineering, Warning",
author = "Foster, {Eleanor K.} and Jones, {Keith S.} and Armstrong, {Miriam E.} and Namin, {Akbar S.}",
note = "Publisher Copyright: {\textcopyright} 2021, The Author(s), under exclusive license to Springer Nature Switzerland AG.; AHFE Conference on Human Factors in Robots, Drones and Unmanned Systems, and AHFE Conference on Human Factors in Cybersecurity, 2021 ; Conference date: 25-07-2021 Through 29-07-2021",
year = "2021",
doi = "10.1007/978-3-030-79997-7_33",
language = "English",
isbn = "9783030799960",
series = "Lecture Notes in Networks and Systems",
publisher = "Springer Science and Business Media Deutschland GmbH",
pages = "265--273",
editor = "Matteo Zallio and {Raymundo Iba{\~n}ez}, Carlos and Hernandez, {Jesus Hechavarria}",
booktitle = "Advances in Human Factors in Robots, Unmanned Systems and Cybersecurity - Proceedings of the AHFE 2021",
}