Coin Transfer Unlinkability Under the Counterparty Adversary Model

IF 0.6 Q4 ECONOMICS Ledger Pub Date : 2022-08-29 DOI:10.5195/ledger.2022.260
Takeshi Miyamae, Kanta Matsuura
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引用次数: 1

Abstract

Unlinkability is a crucial property of cryptocurrencies that protects users from deanonymization attacks. However, currently, even anonymous cryptocurrencies do not necessarily attain unlinkability under specific conditions. For example, Mimblewimble, which is considered to attain coin unlinkability using its transaction kernel offset technique, is vulnerable under the assumption that privacy adversaries can send their coins to or receive coins from the challengers. This paper first illustrates the privacy issue in Mimblewimble that could allow two colluded adversaries to merge a person’s two independent chunks of personally identifiable information (PII) into a single PII. To analyze the privacy issue, we formulate unlinkability between two sets of objects and a privacy adversary model in cryptocurrencies called the counterparty adversary model. On these theoretical bases, we define an abstract model of blockchain-based cryptocurrency transaction protocols called the coin transfer system, and unlinkability over it called coin transfer unlinkability (CT-unlinkability). Furthermore, we introduce zero-knowledgeness for the coin transfer systems to propose a method to easily prove the CT-unlinkability of cryptocurrency transaction protocols. Finally, we prove that Zerocash is CT-unlinkable by using our proving method to demonstrate its effectiveness.
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对手对手模型下的货币转移不可链接性
不可链接性是加密货币的一个关键属性,可以保护用户免受去匿名化攻击。然而,目前,即使是匿名加密货币也不一定在特定条件下达到不可链接性。例如,Mimblewimble被认为使用其交易内核偏移技术实现了硬币的不可链接性,在隐私攻击者可以向挑战者发送硬币或从挑战者接收硬币的假设下,它是脆弱的。本文首先阐述了Mimblewimble中的隐私问题,该问题允许两个相互勾结的对手将一个人的两个独立的个人身份信息(PII)块合并为一个PII。为了分析隐私问题,我们在加密货币中制定了两组对象之间的不可链接性和隐私对手模型,称为对手对手模型。在这些理论基础上,我们定义了一个基于区块链的加密货币交易协议的抽象模型,称为硬币转移系统,并将其上的不可链接性称为硬币转移不可链接性(CT-unlinkability)。此外,我们为硬币转移系统引入零知识,提出了一种容易证明加密货币交易协议的ct -不可链接性的方法。最后,我们用我们的证明方法证明了zeroccash是ct不可链接的,以证明它的有效性。
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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来源期刊
Ledger
Ledger Economics, Econometrics and Finance-Economics, Econometrics and Finance (all)
CiteScore
2.20
自引率
0.00%
发文量
2
审稿时长
40 weeks
期刊最新文献
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