论文标题

BDTF:具有可信赖的执行环境的基于区块链的数据交易框架

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

论文作者

Su, Guoxiong, Yang, Wenyuan, Luo, Zhengding, Zhang, Yinghong, Bai, Zhiqiang, Zhu, Yuesheng

论文摘要

数据交易的需求促进了数据市场的出现。但是,在传统的数据市场中,数据购买者和数据销售商都必须使用可能是不诚实的集中交易平台。不诚实的集中交易平台可能会窃取并转售数据卖家的数据,或者在收到数据购买者付款后可能拒绝发送数据。它严重影响公平的数据交易并损害双方对交易的利益。为了解决这个问题,我们提出了一个具有可信赖的执行环境(TEE)的新型基于区块链的数据交易框架,以提供一个可信赖的分散平台进行公平数据交易。在我们的设计中,有人提出了一个区块链网络,以实现从数据购买者到数据销售商的付款,并通过首次使用T恤来实现公平数据传输来构建可信赖的交易所。有了这些帮助,数据购买者和数据销售商可以直接进行交易。我们在以太坊和英特尔SGX上实施了建议的框架,安全分析和实验结果表明,提出的框架可以有效保证数据交易的公平完成。

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.

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