Herbert, F;
Becker, S;
Schaewitz, L;
Hielscher, J;
Kowalewski, M;
Sasse, A;
Acar, Y;
(2023)
A World Full of Privacy and Security (Mis)conceptions? Findings of a Representative Survey in 12 Countries.
In:
CHI '23: Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems.
(pp. p. 582).
ACM: New York, NY, USA.
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Abstract
Misconceptions about digital security and privacy topics in the general public frequently lead to insecure behavior. However, little is known about the prevalence and extent of such misconceptions in a global context. In this work, we present the results of the first large-scale survey of a global population on misconceptions: We conducted an online survey with n = 12, 351 participants in 12 countries on four continents. By investigating influencing factors of misconceptions around eight common security and privacy topics (including E2EE, Wi-Fi, VPN, and malware), we find the country of residence to be the strongest estimate for holding misconceptions. We also identify differences between non-Western and Western countries, demonstrating the need for region-specific research on user security knowledge, perceptions, and behavior. While we did not observe many outright misconceptions, we did identify a lack of understanding and uncertainty about several fundamental privacy and security topics.
Type: | Proceedings paper |
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Title: | A World Full of Privacy and Security (Mis)conceptions? Findings of a Representative Survey in 12 Countries |
Event: | CHI '23: CHI Conference on Human Factors in Computing Systems |
ISBN-13: | 9781450394215 |
Open access status: | An open access version is available from UCL Discovery |
DOI: | 10.1145/3544548.3581410 |
Publisher version: | https://doi.org/10.1145/3544548.3581410 |
Language: | English |
Additional information: | This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions. |
Keywords: | Security Misconceptions, Online Survey, Co-variance Analysis, Human-Centered Security |
UCL classification: | UCL UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Computer Science |
URI: | https://discovery.ucl.ac.uk/id/eprint/10173710 |
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