CRCYFeb 10, 2020

WibsonTree: Efficiently Preserving Seller's Privacy in a Decentralized Data Marketplace

arXiv:2002.03810v11 citations
Originality Incremental advance
AI Analysis

This addresses privacy concerns for users in decentralized data marketplaces, though it appears incremental as it builds on existing cryptographic and marketplace concepts.

The paper tackles the problem of preserving user privacy in decentralized data marketplaces by introducing WibsonTree, a cryptographic primitive that allows sellers to prove they belong to a buyer's target audience without revealing personal attributes, resulting in efficient privacy-preserving data exchange.

We present a cryptographic primitive called WibsonTree designed to preserve users' privacy by allowing them to demonstrate predicates on their personal attributes, without revealing the values of those attributes. We suppose that there are three types of agents --buyers, sellers and notaries-- who interact in a decentralized privacy-preserving data marketplace (dPDM) such as the Wibson marketplace. We introduce the WibsonTree protocol as an efficient cryptographic primitive that enables the exchange of private information while preserving the seller's privacy. Using our primitive, a data seller can efficiently prove that he/she belongs to the target audience of a buyer's data request, without revealing any additional information.

Foundations

The foundational work for this paper's niche, ranked by how specifically the neighbourhood builds on it — not by global fame.

Your Notes