BDTF: A Blockchain-Based Data Trading Framework with Trusted Execution Environment

TL;DR

This paper introduces a blockchain-based data trading framework utilizing Trusted Execution Environment to ensure fair and secure transactions between data buyers and sellers without relying on a centralized platform.

Contribution

It presents a novel decentralized data trading framework combining blockchain and TEE, enabling fair data exchange and payment without trust in a centralized entity.

Findings

Framework guarantees fair data transactions.

Implementation on Ethereum and Intel SGX demonstrates effectiveness.

Security analysis confirms robustness against dishonest behaviors.

Abstract

The need for data trading promotes the emergence of data market. However, in conventional data markets, both data buyers and data sellers have to use a centralized trading platform which might be dishonest. A dishonest centralized trading platform may steal and resell the data seller's data, or may refuse to send data after receiving payment from the data buyer. It seriously affects the fair data transaction and harm the interests of both parties to the transaction. To address this issue, we propose a novel blockchain-based data trading framework with Trusted Execution Environment (TEE) to provide a trusted decentralized platform for fair data trading. In our design, a blockchain network is proposed to realize the payments from data buyers to data sellers, and a trusted exchange is built by using a TEE for the first time to achieve fair data transmission. With these help, data buyers and data sellers can conduct transactions directly. We implement our proposed framework on Ethereum and Intel SGX, security analysis and experimental results have demonstrated that the framework proposed can effectively guarantee the fair completion of data tradings.