在区块链交易中出售隐私
Selling Privacy in Blockchain Transactions
AI总结：
本文研究了增强区块链交易统计隐私的方法，提出了一种密封拍卖机制，并分析了隐私市场中的双面市场机制，以实现隐私保护与经济效率的平衡。
摘要：
我们研究了增强区块链交易统计隐私的方法。我们分析了隐私意识交易所有者经济机制，其效用不仅取决于机制的结果，还负相关于其经济偏好的暴露。首先，我们考虑了一个订单流拍卖，用户将执行其交易的权利拍卖给称为搜索者的专门代理，以维持一定的隐私度。我们研究隐私度如何影响拍卖的收益以及隐私意识用户的净效用。在此新设定中，我们刻画了最优拍卖，即密封拍卖。随后，我们分析了荷兰拍卖的一种变体，用户逐渐降低价格和隐私度，直到交易售出。我们比较了这种拍卖与最优拍卖的收益，作为通信轮次函数。然后，我们引入了一个双面市场——隐私市场——多个用户在隐私偏好下向多个搜索者出售其交易。我们提出了一种贴价机制，该机制在保证最优社会福利的常数近似的同时，维护激励相容性和预算平衡。本文基于隐私保护机制设计的新兴文献，将统计隐私保证整合到经济协议中，以捕捉信息泄露对区块链用户效用的影响。
英文摘要：
We study methods to enhance statistical privacy in blockchain transactions. We analyze economic mechanisms for privacy-aware transaction owners whose utility depends not only on the outcome of the mechanism but also negatively on the exposure of their economic preferences. First, we consider an order flow auction, where a user auctions off to specialized agents, called searchers, the right to execute her transaction while maintaining a degree of privacy. We examine how the degree of privacy affects the revenue of the auction and, broadly, the net utility of the privacy-aware user. In this new setting, we characterize the optimal auction, which is a sealed-bid auction. Subsequently, we analyze a variant of a Dutch auction in which the user gradually decreases the price and the degree of privacy until the transaction is sold. We compare the revenue of this auction to that of the optimal one as a function of the number of communication rounds. Then, we introduce a two-sided market - a privacy marketplace - with multiple users selling their transactions under their privacy preferences to multiple searchers. We propose a posted-price mechanism for the two-sided market that guarantees constant approximation of the optimal social welfare while maintaining incentive compatibility (from both sides of the market) and budget balance. This work builds on the emerging literature on privacy-preserving mechanism design, integrating statistical privacy guarantees into economic protocols to capture the impact of information leakage on blockchain users' utility.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
