CRCYJul 29, 2019

Secure Exchange of Digital Goods in a Decentralized Data Marketplace

arXiv:1907.12625v15 citations
Originality Incremental advance
AI Analysis

This addresses the challenge of enabling honest and privacy-preserving transactions for individuals and agents in decentralized data marketplaces, representing an incremental improvement in cryptographic methods for such systems.

The paper tackles the problem of trading private information securely in a decentralized marketplace by developing an efficient cryptographic primitive that ensures atomic exchange, where buyers access data and sellers get paid simultaneously.

We are tackling the problem of trading real-world private information using only cryptographic protocols and a public blockchain to guarantee honest transactions. In this project, we consider three types of agents --buyers, sellers and notaries-- interacting in a decentralized privacy-preserving data marketplace (dPDM) such as the Wibson data marketplace. This framework offers infrastructure and financial incentives for individuals to securely sell personal information while preserving personal privacy. Here we provide an efficient cryptographic primitive for the secure exchange of data in a dPDM, which occurs as an atomic operation wherein the data buyer gets access to the data and the data seller gets paid simultaneously.

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