Why they ignore English Emails: The challenges of non-native speakers in identifying phishing emails

Ayako A. Hasegawa, Naomi Yamashita, Mitsuaki Akiyama, Tatsuya Mori

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

Prior work in cybersecurity and risk management has shown that non-native speakers of the language used in phishing emails are more susceptible to such attacks. Despite much research on behaviors English speakers use to avoid phishing attacks, little is known about behaviors of non-native speakers. Therefore, we conducted an online survey with 862 nonnative English speakers (284 Germans, 276 South Koreans, and 302 Japanese). Our findings show that participants, especially those who lacked confidence in English, had a higher tendency to ignore English emails without careful inspection than emails in their native languages. Furthermore, both the German and South Korean participants generally followed the instructions in the email in their native languages without careful inspection. Finally, our qualitative analysis revealed five main factors that formed the participants' concerns in identifying English phishing emails. These findings highlight the importance of providing non-native speakers with specific anti-phishing interventions that differ from those for native speakers.

Original languageEnglish
Title of host publicationProceedings of the 17th Symposium on Usable Privacy and Security, SOUPS 2021
PublisherUSENIX Association
Pages319-338
Number of pages20
ISBN (Electronic)9781939133250
Publication statusPublished - 2021
Event17th Symposium on Usable Privacy and Security, SOUPS 2021 - Virtual, Online
Duration: 2021 Aug 92021 Aug 10

Publication series

NameProceedings of the 17th Symposium on Usable Privacy and Security, SOUPS 2021

Conference

Conference17th Symposium on Usable Privacy and Security, SOUPS 2021
CityVirtual, Online
Period21/8/921/8/10

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Safety, Risk, Reliability and Quality

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