Janin, Simon;
Qin, Kaihua;
Mamageishvili, Akaki;
Gervais, Arthur;
(2020)
FileBounty: Fair Data Exchange.
In:
2020 IEEE European Symposium on Security and Privacy Workshops (EuroS&PW).
(pp. pp. 357-366).
IEEE: Genoa, Italy.
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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.
Type: | Proceedings paper |
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Title: | FileBounty: Fair Data Exchange |
Event: | 2020 IEEE European Symposium on Security and Privacy Workshops (EuroS&PW) |
Dates: | 7 Sep 2020 - 11 Sep 2020 |
Open access status: | An open access version is available from UCL Discovery |
DOI: | 10.1109/eurospw51379.2020.00056 |
Publisher version: | https://doi.org/10.1109/EuroSPW51379.2020.00056 |
Language: | English |
Additional information: | This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions. |
UCL classification: | UCL UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Computer Science |
URI: | https://discovery.ucl.ac.uk/id/eprint/10182334 |




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