弱信任假设下的可伸缩抗强制电子投票

IF 0.4 Q4 COMPUTER SCIENCE, INFORMATION SYSTEMS Applied Computing Review Pub Date : 2023-03-27 DOI:10.1145/3555776.3578730
Thomas Haines, Johannes Müller, Iñigo Querejeta-Azurmendi
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引用次数: 3

摘要

电子投票(e-voting)在许多国家和组织中经常用于具有法律约束力的选举。为了安全地进行这样的选举,在过去的几十年里,人们提出了许多电子投票系统。值得注意的是,其中一些系统旨在提供抗矫顽力。这一属性可以防止潜在的对手试图通过胁迫选民来影响选举。尽管现有的电子投票系统众多,但迄今为止,只有少数能够有效地处理大规模的互联网选举。其中一个系统VoteAgain (USENIX Security 2020)最初被声称在与最先进的电子投票系统类似的信任假设下是安全的,没有强制阻力。在本文中,我们将回顾VoteAgain的安全属性。我们发现,与最初声称的不同,VoteAgain并不比一个具有完全可信的选举机构的微不足道的投票系统更安全。为了缓解这个问题,我们提出了一个VoteAgain的变体,它有效地减轻了对选举当局的信任,同时保持了VoteAgain的可用性和效率。总而言之,我们的研究结果使科学状态更接近可扩展的抗强制电子投票在合理信任假设下是安全的目标。
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Scalable Coercion-Resistant E-Voting under Weaker Trust Assumptions
Electronic voting (e-voting) is regularly used in many countries and organizations for legally binding elections. In order to conduct such elections securely, numerous e-voting systems have been proposed over the last few decades. Notably, some of these systems were designed to provide coercion-resistance. This property protects against potential adversaries trying to swing an election by coercing voters. Despite the multitude of existing coercion-resistant e-voting systems, to date, only few of them can handle large-scale Internet elections efficiently. One of these systems, VoteAgain (USENIX Security 2020), was originally claimed secure under similar trust assumptions to state-of-the-art e-voting systems without coercion-resistance. In this work, we review VoteAgain's security properties. We discover that, unlike originally claimed, VoteAgain is no more secure than a trivial voting system with a completely trusted election authority. In order to mitigate this issue, we propose a variant of VoteAgain which effectively mitigates trust on the election authorities and, at the same time, preserves VoteAgain's usability and efficiency. Altogether, our findings bring the state of science one step closer to the goal of scalable coercion-resistant e-voting being secure under reasonable trust assumptions.
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来源期刊
Applied Computing Review
Applied Computing Review COMPUTER SCIENCE, INFORMATION SYSTEMS-
自引率
40.00%
发文量
8
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