Variance: Secure Two-Party Protocol for Efficient Asset Comparison in Bitcoin

Joshua Holmes, Gaby G. Dagher
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Abstract

Secure multiparty protocols are useful tools for parties wishing to jointly compute a function while keeping their input data secret. The millionaires’ problem is the first secure two-party computation problem, where the goal is to securely compare two private numbers without a trusted third-party. There have been several solutions to the problem; however, these solutions are either insecure in the malicious model or cannot verify the validity of inputs. In this paper, we introduce Variance, a privacy-preserving two-party protocol for solving Yao’s millionaires’ problem in a Bitcoin setting, in which each party controls several Bitcoin accounts (single and multi signature addresses) and they want to find out who owns more bitcoins without revealing (1) how many accounts they own or the addresses associated with their accounts, (2) the balance of any of their accounts, and (3) their total wealth of bitcoins while assuring the other party that they are not claiming more bitcoin than they possess. We utilize zero knowledge proofs to provide a solution to the problem, and subsequently prove that Variance is secure against active adversaries in the malicious model.
方差:用于比特币有效资产比较的安全两方协议
安全多方协议对于希望共同计算一个函数,同时对其输入数据保密的各方来说是有用的工具。百万富翁的问题是第一个安全的两方计算问题,其目标是在没有可信第三方的情况下安全地比较两个私有数字。这个问题有几种解决办法;然而,这些解决方案要么在恶意模型中不安全,要么无法验证输入的有效性。在本文中,我们引入了方差,这是一种保护隐私的两方协议,用于解决姚的百万富翁问题,在比特币环境中,每一方都控制着几个比特币账户(单签名和多签名地址),他们想要找出谁拥有更多的比特币,而不透露(1)他们拥有多少个账户或与他们的账户相关的地址,(2)他们的任何账户的余额,(3)他们的比特币总财富,同时向另一方保证他们没有声称比他们拥有的比特币更多。我们利用零知识证明来提供问题的解决方案,并随后证明方差对恶意模型中的活跃对手是安全的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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