A Decentralized Private Data Marketplace using Blockchain and Secure Multi-Party Computation

IF 3 4区 计算机科学 Q2 COMPUTER SCIENCE, INFORMATION SYSTEMS
Julen Bernabé-Rodríguez, Albert Garreta, Oscar Lage
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引用次数: 0

Abstract

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 inteligence. 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.

使用区块链和安全多方计算的去中心化私人数据市场
大数据已被证明是对公司和用户非常有用的工具,但由于机器学习或人工智能,拥有较大数据集的公司最终比其他公司更具竞争力。安全多方计算(SMPC)允许规模较小的公司在确保隐私的前提下,在其私有数据上联合训练任意模型,从而使数据所有者有能力执行目前所谓的联合学习算法。此外,有了区块链,就有可能以去中心化的方式协调和审计这些计算。在本文中,我们将私人数据市场视为一个空间,研究人员和数据所有者可以在此会面,就使用私人数据进行统计或更复杂的模型训练达成一致。本文通过将 SMPC 与公共通用区块链相结合,提出了私有数据市场的候选架构。这种市场是作为部署在区块链中的智能合约提出的,而隐私保护计算则由 SMPC 负责。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
ACM Transactions on Privacy and Security
ACM Transactions on Privacy and Security Computer Science-General Computer Science
CiteScore
5.20
自引率
0.00%
发文量
52
期刊介绍: ACM Transactions on Privacy and Security (TOPS) (formerly known as TISSEC) publishes high-quality research results in the fields of information and system security and privacy. Studies addressing all aspects of these fields are welcomed, ranging from technologies, to systems and applications, to the crafting of policies.
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