Selene & Co针对恶意板的机器检查隐私证明

C. Drăgan, Kristian Gjøsteen, François Dupressoir, Thomas Haines, Morten Rotvold Solberg, E. Estaji
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引用次数: 2

摘要

在复杂的系统中,尤其是在电子投票方案中,隐私是一个众所周知的难以实现的属性。此外,电子投票方案是一类需要非常高的保证的系统。文献中包含许多选票隐私定义以及通用系统的安全证明。一些机器检查的安全证明也出现了。我们定义了一个新的选票隐私概念,它捕获了更大类的投票方案。考虑到许多方案中的验证将在或必须在统计公布之后进行,而不是像以前的定义那样在此之前进行,这一概念在目前的技术水平上得到了改进。作为一个案例研究,我们为Selene提供了一个机器检查的隐私证明,这是一个远程电子投票方案,它提供了一个有吸引力的安全属性和可用性组合。在我们的工作之前,Selene的计算隐私从未得到正式验证。最后,我们也证明了MiniVoting和Belenios满足我们的定义。
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Machine-Checked Proofs of Privacy Against Malicious Boards for Selene & Co
Privacy is a notoriously difficult property to achieve in complicated systems and especially in electronic voting schemes. Moreover, electronic voting schemes is a class of systems that require very high assurance. The literature contains a number of ballot privacy definitions along with security proofs for common systems. Some machine-checked security proofs have also appeared. We define a new ballot privacy notion that captures a larger class of voting schemes. This notion improves on the state of the art by taking into account that verification in many schemes will happen or must happen after the tally has been published, not before as in previous definitions. As a case study we give a machine-checked proof of privacy for Selene, which is a remote electronic voting scheme which offers an attractive mix of security properties and usability. Prior to our work, the computational privacy of Selene has never been formally verified. Finally, we also prove that MiniVoting and Belenios satisfies our definition.
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