Marky, K., Gerber, P., Günther, S., Khamis, M. , Fries, M. and Mühlhäuser, M. (2022) Investigating State-of-the-Art Practices for Fostering Subjective Trust in Online Voting through Interviews. In: 31st USENIX Security Symposium (USENIX Security '22 Winter), Boston, MA, USA, 10-12 Aug 2022, pp. 4059-4076. ISBN 9781939133311
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Abstract
Ensuring voters’ subjective trust is key to adopting any voting system. Consequently, researchers, experts, and policymakers have proposed and implemented practices to foster the trust of voters in online voting. State-of-the-art practices include security features, public information, or evaluations. However, it remains unclear how these practices affect the voters’ subjective trust. Through interviews with 26 participants, this work presents the first analysis of voters’ perceptions considering state-of-the-art practices that help voters determine their trust in Internet voting. Among our results, we show practices, such as expert evaluations, that we identified as mandatory. Further, we found practices, such as individual verifiability, that facilitate trust. Others, such as vote updating, have a negative impact due to unfamiliarity. We, furthermore, report misconceptions, discuss ways to address them through different information interfaces or as part of the voting software. Finally, we list recommendations for the specific realization of expedient practices to inform developers and policymakers.
Item Type: | Conference Proceedings |
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Additional Information: | This work has been co-funded by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation, grant number 251805230/GRK 2050) and by the German Federal Ministry of Education and Research and the Hessen State Ministry for Higher Education, Research, Science and the Arts within their joint support of the National Research Center for Applied Cybersecurity ATHENE. |
Status: | Published |
Refereed: | Yes |
Glasgow Author(s) Enlighten ID: | Marky, Dr Karola and Khamis, Dr Mohamed |
Authors: | Marky, K., Gerber, P., Günther, S., Khamis, M., Fries, M., and Mühlhäuser, M. |
College/School: | College of Science and Engineering > School of Computing Science |
ISBN: | 9781939133311 |
Copyright Holders: | Copyright © 2022 The Authors |
Publisher Policy: | Reproduced in accordance with the copyright policy of the publisher |
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