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Augmented Voting Reality

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Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 12528))

Abstract

We show how to enhance a classical ballot box to enable automatic tally, while keeping the voter experience as close as possible to the one she already knows. We describe the physical add-on, based on off-the-shelf infrared technology, as well as the cryptographic aspects, for which we rely on self-enforcing e-voting systems by Hao et al.

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References

  1. 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

  2. Blaze, M., Braun, J., Hursti, H., Hall, J.L., MacAlpine, M., Moss, J.: Report on Cyber Vulnerabilities in U.S. Election Equipment, Databases, and Infrastructure. DEFCON 25 Voting Machine Hacking Village (2017)

    Google Scholar 

  3. Blaze, M., Braun, J., Hursti, H., Jefferson, D., MacAlpine, M., Moss, J.: Report on Cyber Vulnerabilities in U.S. Election Equipment, Databases, and Infrastructure. DEFCON 26 Voting Village (2018)

    Google Scholar 

  4. Carback, R., et al.: Scantegrity II municipal election at Takoma Park: the first E2E binding governmental election with ballot privacy. In: USENIX Security Symposium, pp. 291–306. USENIX Association (2010)

    Google Scholar 

  5. Chaum, D., et al.: Scantegrity II: end-to-end verifiability for optical scan election systems using invisible ink confirmation codes. In: EVT. USENIX Association (2008)

    Google Scholar 

  6. Cortier, V.: Electronic voting: how logic can help. In: Demri, S., Kapur, D., Weidenbach, C. (eds.) IJCAR 2014. LNCS (LNAI), vol. 8562, pp. 16–25. Springer, Cham (2014). https://doi.org/10.1007/978-3-319-08587-6_2

  7. Hao, F., et al.: Every Vote Counts: Ensuring integrity in large-scale electronic voting. In: EVT/WOTE. USENIX Association (2014). https://www.usenix.org/system/files/conference/evtwote14/jets_0203-hao.pdf

  8. Hao, F., et al.: End-to-End Verifiable E-Voting Trial for Polling Station Voting at Gateshead. Cryptology ePrint Archive, Report 2020/650 (2020)

    Google Scholar 

  9. Hao, F., Zieliński, P.: A 2-round anonymous veto protocol. In: Christianson, B., Crispo, B., Malcolm, J.A., Roe, M. (eds.) Security Protocols 2006. LNCS, vol. 5087, pp. 202–211. Springer, Heidelberg (2009). https://doi.org/10.1007/978-3-642-04904-0_28

    Chapter  Google Scholar 

  10. Engineering National Academies of Sciences and Medicine. Securing the Vote: Protecting American Democracy. The National Academies Press (2018)

    Google Scholar 

  11. Shahandashti, S.F., Hao, F.: DRE-ip: a verifiable e-voting scheme without tallying authorities. In: Askoxylakis, I., Ioannidis, S., Katsikas, S., Meadows, C. (eds.) ESORICS 2016. LNCS, vol. 9879, pp. 223–240. Springer, Cham (2016). https://doi.org/10.1007/978-3-319-45741-3_12

    Chapter  Google Scholar 

  12. Sommer, D.M., Schneider, M., Gut, J., Capkun, S.: Cyber-Risks in Paper Voting. CoRR, abs/1906.07532 (2019)

    Google Scholar 

  13. Stark, P.B., Wagner, D.A.: Evidence-Based Elections. IEEE Secur. Priv. 10(5), 33–41 (2012)

    Article  Google Scholar 

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Correspondence to Emmanuelle Dottax .

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Chabanne, H., Dottax, E., Dumont, D. (2021). Augmented Voting Reality. In: Garcia-Alfaro, J., Leneutre, J., Cuppens, N., Yaich, R. (eds) Risks and Security of Internet and Systems. CRiSIS 2020. Lecture Notes in Computer Science(), vol 12528. Springer, Cham. https://doi.org/10.1007/978-3-030-68887-5_18

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  • DOI: https://doi.org/10.1007/978-3-030-68887-5_18

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-68886-8

  • Online ISBN: 978-3-030-68887-5

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