@inproceedings{af9274914fac4b23b61cb46ebbc56311,
title = "Self-confidence trumps knowledge: A cross-cultural study of security behavior",
abstract = "Computer security tools usually provide universal solutions without taking user characteristics (origin, income level,⋯) into account. In this paper, we test the validity of using such universal security defenses, with a particular focus on culture. We apply the previously proposed Security Behavior Intentions Scale (SeBIS) to 3,500 participants from seven countries. We first translate the scale into seven languages while preserving its reliability and structure validity. We then build a regression model to study which factors affect participants' security behavior. We find that participants from different countries exhibit different behavior. For instance, participants from Asian countries, and especially Japan, tend to exhibit less secure behavior. Surprisingly to us, we also find that actual knowledge influences user behavior much less than user self-confidence in their computer security knowledge. Stated differently, what people think they know affects their security behavior more than what they do know. Copyright is held by the author/owner(s).",
keywords = "Computer security, Cross-cultural study",
author = "Yukiko Sawaya and Mahmood Sharif and Nicolas Christin and Ayumu Kubota and Akihiro Nakarai and Akira Yamada",
note = "Publisher Copyright: {\textcopyright} 2017 ACM.; 2017 ACM SIGCHI Conference on Human Factors in Computing Systems, CHI 2017 ; Conference date: 06-05-2017 Through 11-05-2017",
year = "2017",
month = may,
day = "2",
doi = "10.1145/3025453.3025926",
language = "الإنجليزيّة",
series = "Conference on Human Factors in Computing Systems - Proceedings",
publisher = "Association for Computing Machinery",
pages = "2202--2214",
booktitle = "CHI 2017 - Proceedings of the 2017 ACM SIGCHI Conference on Human Factors in Computing Systems",
address = "الولايات المتّحدة",
}