论文标题

FileBounty:公平数据交换

FileBounty: Fair Data Exchange

论文作者

Janin, Simon, Qin, Kaihua, Mamageishvili, Akaki, Gervais, Arthur

论文摘要

数字内容通常通过集中和保管市场在线出售,这要求贸易伙伴信任中心实体。我们提出了FileBounty,这是一个公平的协议,假设买方已知感兴趣的文件的加密哈希,它是无信任的,可以让买方购买以前商定的货币金额的购买数据,同时保证内容的完整性。为了防止行为不当,FileBounty保证了与预期参与者的行为的任何偏差会导致负面的财务收益;即,我们表明诚实的行为对应于子游戏的完美纳什平衡。我们新颖的存款退款计划具有对理性对手下的勒索攻击的抵抗力。如果买卖双方诚实地行事,FileBounty的执行仅需要三项链交易,而实际数据则以有效且具有隐私性的方式交换。我们还展示了FileBounty如何启用灵活的点对点设置,其中多方公平地将文件出售给买家。

Digital contents are typically sold online through centralized and custodian marketplaces, which requires the trading partners to trust a central entity. We present FileBounty, a fair protocol which, assuming the cryptographic hash of the file of interest is known to the buyer, is trust-free and lets a buyer purchase data for a previously agreed monetary amount, while guaranteeing the integrity of the contents. To prevent misbehavior, FileBounty guarantees that any deviation from the expected participants' behavior results in a negative financial payoff; i.e. we show that honest behavior corresponds to a subgame perfect Nash equilibrium. Our novel deposit refunding scheme is resistant to extortion attacks under rational adversaries. If buyer and seller behave honestly, FileBounty's execution requires only three on-chain transactions, while the actual data is exchanged off-chain in an efficient and privacy-preserving manner. We moreover show how FileBounty enables a flexible peer-to-peer setting where multiple parties fairly sell a file to a buyer.

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