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• W3081251736 abstract "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 privacypreserving manner. We moreover show how FileBounty enables a flexible peer-to-peer setting where multiple parties fairly sell a file to a buyer." @default.
• W3081251736 created "2020-09-01" @default.
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• W3081251736 date "2020-09-01" @default.
• W3081251736 modified "2023-10-13" @default.
• W3081251736 title "FileBounty: Fair Data Exchange" @default.
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• W3081251736 doi "https://doi.org/10.1109/eurospw51379.2020.00056" @default.
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