“Alexa, What’s a Phishing Email?”: Training users to spot phishing emails using a voice assistant

Author:

Sharevski FilipoORCID,Jachim Peter

Abstract

AbstractThis paper reports the findings from an empirical study investigating the effectiveness of using intelligent voice assistants, Amazon Alexa in our case, to deliver a phishing training to users. Because intelligent voice assistants can hardly utilize visual cues but provide for convenient interaction with users, we developed an interaction-based phishing training focused on the principles of persuasion with examples on how to look for them in phishing emails. To test the effectiveness of this training, we conducted a between-subject study where 120 participants were randomly assigned in three groups: no training, interaction-based training with Alexa, and a facts-and-advice training and assessed a vignette of 28 emails. The results show that the participants in the interaction-based group statistically outperformed the others when detecting phishing emails that employed the following persuasion principles (and/or combinations of): authority, authority/scarcity, commitment, commitment/liking, and scarcity/liking. The paper discusses the implication of this result for future phishing training and anti-phishing efforts.

Publisher

Springer Science and Business Media LLC

Subject

Computer Science Applications,Signal Processing

Reference31 articles.

1. H. Hu, G. Wang, in 27th USENIX Security Symposium (USENIX Security 18). End-to-End Measurements of Email Spoofing Attacks (USENIX Association, Baltimore, 2018), pp. 1095–1112. https://www.usenix.org/conference/usenixsecurity18/presentation/hu

2. S. Egelman, L.F. Cranor, J. Hong, in Proceedings of the SIGCHI Conference on Human Factors in Computing Systems. You’ve Been Warned: An Empirical Study of the Effectiveness of Web Browser Phishing Warnings (Association for Computing Machinery, New York, 2008), CHI ’08, p. 1065–1074. https://doi.org/10.1145/1357054.1357219

3. Z.A. Wen, Z. Lin, R. Chen, E. Andersen, in Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems. What.Hack: Engaging Anti-Phishing Training Through a Role-playing Phishing Simulation Game (ACM, New York, 2019), CHI ’19, pp. 108:1–108:12. https://doi.org/10.1145/3290605.3300338

4. C. Bravo-Lillo, S. Komanduri, L.F. Cranor, R.W. Reeder, M. Sleeper, J. Downs, S. Schechter, in Proceedings of the Ninth Symposium on Usable Privacy and Security. Your Attention Please: Designing Security-Decision UIs to Make Genuine Risks Harder to Ignore (Association for Computing Machinery, New York, 2013), SOUPS ’13. https://doi.org/10.1145/2501604.2501610

5. R. Wash, M.M. Cooper, in Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems. Who Provides Phishing Training? Facts, Stories, and People Like Me (Association for Computing Machinery, New York, 2018), CHI ’18. https://doi.org/10.1145/3173574.3174066

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Exploring the evidence for email phishing training: A scoping review;Computers & Security;2024-04

2. A Survey on the Principles of Persuasion as a Social Engineering Strategy in Phishing;2023 IEEE 22nd International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom);2023-11-01

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3