TY - JOUR
T1 - A Decentralized Private Data Marketplace using Blockchain and Secure Multi-Party Computation
AU - Bernabé-Rodríguez, Julen
AU - Garreta, Albert
AU - Lage, Oscar
N1 - Publisher Copyright:
© 2024 Copyright held by the owner/author(s). Publication rights licensed to ACM.
PY - 2024/6/6
Y1 - 2024/6/6
N2 - Big data has proven to be a very useful tool for companies and users, but companies with larger datasets have ended being more competitive than the others thanks to machine learning or artificial intelligence. Secure multi-party computation (SMPC) allows the smaller companies to jointly train arbitrary models on their private data while assuring privacy, and thus gives data owners the ability to perform what are currently known as federated learning algorithms. Besides, with a blockchain it is possible to coordinate and audit those computations in a decentralized way.In this document, we consider a private data marketplace as a space where researchers and data owners meet to agree the use of private data for statistics or more complex model trainings. This document presents a candidate architecure for a private data marketplace by combining SMPC and a public, general-purpose blockchain. Such a marketplace is proposed as a smart contract deployed in the blockchain, while the privacy preserving computation is held by SMPC.
AB - Big data has proven to be a very useful tool for companies and users, but companies with larger datasets have ended being more competitive than the others thanks to machine learning or artificial intelligence. Secure multi-party computation (SMPC) allows the smaller companies to jointly train arbitrary models on their private data while assuring privacy, and thus gives data owners the ability to perform what are currently known as federated learning algorithms. Besides, with a blockchain it is possible to coordinate and audit those computations in a decentralized way.In this document, we consider a private data marketplace as a space where researchers and data owners meet to agree the use of private data for statistics or more complex model trainings. This document presents a candidate architecure for a private data marketplace by combining SMPC and a public, general-purpose blockchain. Such a marketplace is proposed as a smart contract deployed in the blockchain, while the privacy preserving computation is held by SMPC.
KW - blockchain
KW - data economy
KW - distributed computation
KW - edge computing
KW - Multi-party computation
UR - http://www.scopus.com/inward/record.url?scp=85196316329&partnerID=8YFLogxK
U2 - 10.1145/3652162
DO - 10.1145/3652162
M3 - Article
AN - SCOPUS:85196316329
SN - 2471-2566
VL - 27
JO - ACM Transactions on Privacy and Security
JF - ACM Transactions on Privacy and Security
IS - 2
M1 - 19
ER -