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Conference object . 2021
License: CC BY
Data sources: ZENODO
ZENODO
Conference object . 2021
License: CC BY
Data sources: Datacite
ZENODO
Conference object . 2021
License: CC BY
Data sources: Datacite
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A protocol for data exchange with free samples using smart contracts

Authors: Genés-Durán, Rafael; Hernández-Serrano, Juan; Esparza, Oscar; Soriano, Miguel; Muñoz-Tapia, Jose Luis;

A protocol for data exchange with free samples using smart contracts

Abstract

Distrust between data providers and data consumersis one of the main obstacles hampering digitaldatacommerce to take off. Data providers want toget paid for what they offer, while data consumerswant to know exactly what are they paying for beforeactually paying for it. In this paper, we summarizea protocol that overcomes this obstacle by buildingtrust based on two main ideas. First, a probabilisticverification protocol, where some random samples ofthe real dataset are shown to buyers in order to allowthem to make an assessment before committing anypayment; and second a guaranteed, protected paymentprocess, enforced with smart contracts on a publicblockchain, that guarantees the payment of the data ifand only if the data provided meets the agreed terms,and that refunds honest players otherwise.

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Keywords

JITEL2021, SCITEL, Telecommunications

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green