Privacy-enhanced OptiSwap

S. Avizheh, Preston Haffey, R. Safavi-Naini
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引用次数: 0

摘要

公平交换是直接应用于电子商务的数字物品交换中的一个基本问题。在一个公平的交换协议中,双方希望交换他们相应的物品,这样要么双方都收到对方的物品,要么双方都没有收到任何东西。事实证明,没有可信第三方(TTP)的公平交换是不可能的。乐观的公平交换协议将TTP的作用限制在一方行为不端的情况下。OptiSwap (Eckey et al., 2020)是一种公平的交换协议,用于用数字货币交换机密数字项目。OptiSwap使用智能合约作为TTP,并允许买方与卖方使用交互式争议解决协议(通过智能合约进行调解),为行为不端的卖方生成不当行为的证明。我们证明OptiSwap的争议解决协议将项目信息泄露给智能合约(public),从而将项目完全泄露给公众,这为恶意买家提供了对系统公平性保证构成可信威胁的机会。我们提出并设计了一种隐私增强的OptiSwap,在不显著影响协议效率的前提下,防止信息泄露,保证交换的安全性和公平性。我们在非单片对手的通用可组合性的扩展中证明了新协议的安全性,并在原始OptiSwap的基础上实现并评估了其效率。我们讨论了我们的结果,并提出了未来的研究方向。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Privacy-enhanced OptiSwap
Fair Exchange is a fundamental problem in the exchange of digital items with direct application to electronic commerce. In a fair exchange protocol, two parties want to exchange their corresponding items such that either both receive the other's item, or neither of them receives anything. It has been shown that fair exchange without a trusted third party (TTP) is not possible. Optimistic fair exchange protocols limit the role of TTP to the case that one of the parties misbehaves. OptiSwap (Eckey et al., 2020) is a fair exchange protocol for the exchange of confidential digital items with digital coins. OptiSwap uses a smart contract as the TTP and allows the buyer to use an interactive dispute resolution protocol with the seller (mediated through smart contract) to generate a proof of misbehaviour for a misbehaving seller. We show that OptiSwap's dispute resolution protocol leaks information about the item to the smart contract (public) which can completely reveal the item to the public, and this provides an opportunity for a malicious buyer to pose a credible threat to the fairness guarantee of the system. We propose and design privacy-enhanced OptiSwap that prevents the leakage of information and guarantees security and fairness of the exchange without significantly affecting the efficiency of the protocol. We prove security of the new protocol in an extension of the universal composability for non-monolithic adversaries, and implement and evaluate its efficiency against the original OptiSwap. We discuss our results and suggest directions for future research.
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