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A Practical Coercion Resistant Voting Scheme Revisited

  • Conference paper
E-Voting and Identify (Vote-ID 2013)

Part of the book series: Lecture Notes in Computer Science ((LNSC,volume 7985))

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Abstract

The scheme of ABRTY (Araújo et al., CANS 2010) is one of the most promising solutions for internet voting nowadays. It fights realistic coercive attacks and can be applied in large scale voting scenarios as it has linear time complexity. However, this scheme has two intrinsic drawbacks. As it does not allow revocation of credentials of ineligible voters, voters need to obtain fresh credentials before each new election. Also, authorities could generate valid but illegitimate credentials unnoticed. In this work, we present solutions for these drawbacks and show a modified version of ABRTY’s scheme. In addition, we describe a weakness of a receipt-free voting scheme proposed by Acquisti in 2004.

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Author information

Authors and Affiliations

  1. Faculdade de Computação, Universidade Federal do Pará, Rua Augusto Corrêa 01, 66075-110, Belém, PA, Brazil

    Roberto Araújo

  2. Orange Labs, 42 rue des Coutures, BP 6243, 14066, Caen Cedex, France

    Jacques Traoré

Authors
  1. Roberto Araújo
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  2. Jacques Traoré
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Editor information

Editors and Affiliations

  1. University of Surrey, Guildford, UK

    James Heather

  2. University of Surrey, GU2 7XH, Guildford, Surrey, UK

    Steve Schneider

  3. Dept. Computer Science and Software, The University of Melbourne, 3010, Parkville, VIC, Australia

    Vanessa Teague

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Araújo, R., Traoré, J. (2013). A Practical Coercion Resistant Voting Scheme Revisited. In: Heather, J., Schneider, S., Teague, V. (eds) E-Voting and Identify. Vote-ID 2013. Lecture Notes in Computer Science, vol 7985. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-39185-9_12

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  • DOI: https://doi.org/10.1007/978-3-642-39185-9_12

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-39184-2

  • Online ISBN: 978-3-642-39185-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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