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A World Full of Privacy and Security (Mis)conceptions? Findings of a Representative Survey in 12 Countries

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. Green open access

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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
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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