Abstract
Online elections and polls are increasingly gaining ground. Since the beginning of the pandemic, many associations, companies and agencies opted for online elections at some point. Yet, most of these elections use online voting systems that are a black box for voters, even though the current state of research offers cryptographic means that would allow voters to detect potential manipulations, e.g., by methods for end-to-end (E2E) verifiability. In this paper, we report on qualitative exploratory research to determine the reasons for this situation. We evaluate responses from a panel at a national conference in Germany by specialists from official agencies, industry, and academia, whom we asked why election organizers still largely opt for systems that are not verifiable and how this could be changed. We furthermore present an exploratory study in which we asked program committee members from relevant international conferences to assess the obtained panel responses on their accuracy, relevance, and completeness. Finally, we discuss possible next steps for strengthening our findings and how to implement them to see more verifiable voting systems being used in the future.
This work was supported by funding from the topic Engineering Secure Systems of the Helmholtz Association (HGF) and by KASTEL Security Research Labs.
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Notes
- 1.
The main purpose consisted in introducing the comparison of black-box and verifiable voting systems to the audience.
References
Alvarez, R.M., Levin, I., Pomares, J., Leiras, M.: Voting made safe and easy: the impact of e-voting on citizen perceptions. Polit. Sci. Res. Methods 1(1), 117–137 (2013). https://doi.org/10.1017/psrm.2013.2
Beckert, B., et al.: Aktuelle Entwicklungen im Kontext von Online-Wahlen und digitalen Abstimmungen. Technical report, Karlsruhe Institute of Technology (KIT) (2021). https://doi.org/10.5445/IR/1000137300
Bernhard, M., et al.: Public evidence from secret ballots. In: Krimmer, R., Volkamer, M., Braun Binder, N., Kersting, N., Pereira, O., Schürmann, C. (eds.) E-Vote-ID 2017. LNCS, vol. 10615, pp. 84–109. Springer, Cham (2017). https://doi.org/10.1007/978-3-319-68687-5_6
Kersting, N., Baldersheim, H. (eds.): Electronic Voting and Democracy: A Comparative Analysis. Palgrave Macmillan (2004). https://doi.org/10.1057/9780230523531
Licht, N., Duenas-Cid, D., Krivonosova, I., Krimmer, R.: To i-vote or not to i-vote: drivers and barriers to the implementation of internet voting. In: Krimmer, R., et al. (eds.) E-Vote-ID 2021. LNCS, vol. 12900, pp. 91–105. Springer, Cham (2021). https://doi.org/10.1007/978-3-030-86942-7_7
Marky, K., Gerber, P., Günther, S., Khamis, M., Fries, M., Mühlhäuser, M.: Investigating state-of-the-art practices for fostering subjective trust in online voting through interviews. In: 31st USENIX Security Symposium (USENIX Security 2022), Boston, MA. USENIX Association (2022). https://www.usenix.org/conference/usenixsecurity22/presentation/marky
Olembo, M.M., Bartsch, S., Volkamer, M.: Mental models of verifiability in voting. In: Heather, J., Schneider, S., Teague, V. (eds.) Vote-ID 2013. LNCS, vol. 7985, pp. 142–155. Springer, Heidelberg (2013). https://doi.org/10.1007/978-3-642-39185-9_9
Solvak, M.: Does vote verification work: usage and impact of confidence building technology in internet voting. In: Krimmer, R., et al. (eds.) E-Vote-ID 2020. LNCS, vol. 12455, pp. 213–228. Springer, Cham (2020). https://doi.org/10.1007/978-3-030-60347-2_14
Teague, V.: Which E-voting problems do we need to solve? In: Malkin, T., Peikert, C. (eds.) CRYPTO 2021. LNCS, vol. 12825, pp. 3–7. Springer, Cham (2021). https://doi.org/10.1007/978-3-030-84242-0_1
Zollinger, M., Distler, V., Rønne, P.B., Ryan, P.Y.A., Lallemand, C., Koenig, V.: User experience design for e-voting: how mental models align with security mechanisms. CoRR abs/2105.14901 (2021). https://arxiv.org/abs/2105.14901
Zollinger, M.-L., Estaji, E., Ryan, P.Y.A., Marky, K.: “Just for the sake of transparency’’: exploring voter mental models of verifiability. In: Krimmer, R., et al. (eds.) E-Vote-ID 2021. LNCS, vol. 12900, pp. 155–170. Springer, Cham (2021). https://doi.org/10.1007/978-3-030-86942-7_11
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The authors would like to thank the participants in the panel discussion as well as the anonymous participants in the exploratory study.
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Kirsten, M., Volkamer, M., Beckert, B. (2023). Why Is Online Voting Still Largely a Black Box?. In: Katsikas, S., et al. Computer Security. ESORICS 2022 International Workshops. ESORICS 2022. Lecture Notes in Computer Science, vol 13785. Springer, Cham. https://doi.org/10.1007/978-3-031-25460-4_32
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