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A hybrid approach to vector-based homomorphic tallying remote voting

机译:基于向量的同态计数远程投票的混合方法

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摘要

Vector-based homomorphic tallying remote voting schemes provide an efficient protocol for vote tallying, but they require voters to prove in zero-knowledge that the ballots they cast have been properly generated. This is usually achieved by means of the so-called zero-knowledge range proofs, which should be verified by the polling station before tallying. In this paper, we present an end-to-end verifiable hybrid proposal in which ballots are proven to be correct by making use of a zero-knowledge proof of mixing but still using a homomorphic tallying for gathering the election results. Our proposal offers all the advantages of the homomorphic tallying paradigm, while it avoids the elevated computational cost of range proofs. As a result, ballot verification performance is improved in comparison with the equivalent homomorphic systems. The proposed voting scheme is suitable for multi-candidate elections as well as for elections in which the votes have different weights.
机译:基于向量的同态计数远程投票方案提供了一种有效的计数协议,但是它们要求选民以零知识证明他们正确地产生了投票。这通常是通过所谓的零知识范围证明来实现的,应该在投票之前由投票站进行验证。在本文中,我们提出了一种端到端可验证的混合提议,其中通过使用零知识混合证明来证明选票是正确的,但仍使用同态计数来收集选举结果。我们的建议提供了同态计数范式的所有优点,同时避免了范围证明的计算成本升高。结果,与等效的同态系统相比,投票验证性能得以提高。拟议的投票方案适用于多候选人选举以及具有不同权重的选举。

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