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Thwarting Last-Minute Voter Coercion

Research output: Conference Article in Proceeding or Book/Report chapterArticle in proceedingsResearchpeer-review

Abstract

Counter-strategies are key components of coercion-resistant voting schemes, allowing voters to submit votes that represent their own intentions in an environment controlled by a coercer. By deploying a counter-strategy a voter can prevent the coercer from learning if the voter followed the coercer’s instructions or not. Two effective counter-strategies have been proposed in the literature, one based on fake credentials and another on revoting. While fake-credential schemes assume that voters hide cryptographic keys away from the coercer, revoting schemes assume that voters can revote after being coerced.In this work, we present a new counter-strategy technique that enables flexible vote updating, that is, a revoting approach that provides protection against coercion even if the adversary is able to coerce a voter at the very last minute of the voting phase. We demonstrate that our technique is effective by implementing it in Loki, an Internet-based coercion-resistant voting scheme that allows revoting. We prove that Loki satisfies a game-based definition of coercion-resistance that accounts for flexible vote updating. To the best of our knowledge, we provide the first technique that enables deniable coercion-resistant voting and that can evade last-minute voter coercion.
Original languageEnglish
Title of host publication2024 IEEE Symposium on Security and Privacy (SP)
Number of pages17
PublisherIEEE
Publication date2024
Pages3423-3439
ISBN (Print)9798350331301, 9798350331301
DOIs
Publication statusPublished - 2024
EventSymposium on Security and Privacy - United States, San Francisco , United States
Duration: 19 May 202423 May 2024
https://ieeexplore.ieee.org/servlet/opac?punumber=10646615

Conference

ConferenceSymposium on Security and Privacy
LocationUnited States
Country/TerritoryUnited States
CitySan Francisco
Period19/05/202423/05/2024
Internet address

Keywords

  • Waste materials
  • Privacy
  • Filtering
  • Force
  • Resists
  • Probability distribution
  • Brute force attacks

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