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Natural Strategic Abilities in Voting Protocols

  • University of Luxembourg
  • Polish Academy of Sciences

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Security properties are often focused on the technological side of the system. One implicitly assumes that the users will behave in the right way to preserve the property at hand. In real life, this cannot be taken for granted. In particular, security mechanisms that are difficult and costly to use are often ignored by the users, and do not really defend the system against possible attacks. Here, we propose a graded notion of security based on the complexity of the user’s strategic behavior. More precisely, we suggest that the level to which a security property φ is satisfied can be defined in terms of (a) the complexity of the strategy that the voter needs to execute to make φ true, and (b) the resources that the user must employ on the way. The simpler and cheaper to obtain φ, the higher the degree of security. We demonstrate how the idea works in a case study based on an electronic voting scenario. To this end, we model the vVote implementation of the Prêt à Voter voting protocol for coercion-resistant and voter-verifiable elections. Then, we identify “natural” strategies for the voter to obtain receipt-freeness, and measure the voter’s effort that they require.

Original languageEnglish
Title of host publicationSocio-Technical Aspects in Security and Trust - 10th International Workshop, STAST 2020, Revised Selected Papers
EditorsThomas Groß, Luca Viganò
PublisherSpringer Science and Business Media Deutschland GmbH
Pages45-62
Number of pages18
ISBN (Print)9783030793173
DOIs
Publication statusPublished - 1 Jan 2021
Event10th International Workshop on Socio-Technical Aspects in Security and Trust, STAST 2020 - Virtual, Online
Duration: 14 Sept 202014 Sept 2020

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume12812 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference10th International Workshop on Socio-Technical Aspects in Security and Trust, STAST 2020
CityVirtual, Online
Period14/09/2014/09/20

Keywords

  • Coercion resistance
  • Electronic voting
  • Graded security
  • Multi-agent models
  • Natural strategies

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