FileBounty：公平数据交换
FileBounty: Fair Data Exchange
摘要：
数字内容通常通过集中和托管市场在线销售，这要求贸易伙伴信任中央实体。我们提出了FileBounty，一个公平的协议，假设感兴趣的文件的加密散列是已知的买家，是不信任的，并让买家购买数据为先前商定的货币金额，同时保证内容的完整性。为了防止不当行为，FileBounty保证任何偏离预期参与者行为的行为都会导致负的财务回报;即我们证明了诚实的行为对应于子博弈完美纳什均衡。我们的新的存款退款计划是抵抗勒索攻击下的理性对手。如果买方和卖方诚实行事，FileBounty的执行只需要三次链上交易，而实际数据以高效和隐私保护的方式在链下交换。此外，我们还展示了FileBounty如何实现灵活的点对点设置，多方公平地将文件出售给买家。
英文摘要：
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.
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。
