Data, a key asset in our data-driven economy, has fueled the emergence of a new data trading industry. However, there are a number of limitations in conventional data trading platforms due to the existence of dishonest buyer/data broker. To mitigate these limitations, we posit the importance of a data processing-as-a-service model, which complements the conventional data hosting/exchange-as-a-service model. Specifically, in this paper, we introduce a secure data trading ecosystem and present a new blockchain-based data trading ecosystem (hereafter referred to as SDTE). In the ecosystem, both data broker and buyer are not able to obtain access to the seller's raw data, as they are only getting access to the analysis findings that they require. In other words, we reduce the challenge of securing the dataset to the challenge to secure the data processing. We also build a security model to analyze the data trading market and describe a new set of trading protocols for the entire data trading market. To demonstrate utility, we implement our proposed secure data trading platform (SDTP) on Ethereum & Intel's Software Guard Extensions (SGX) and perform an in-depth analysis.

中文翻译：

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SDTE：基于安全区块链的数据交易生态系统

数据是我们数据驱动型经济中的重要资产，它推动了新的数据交易行业的兴起。但是，由于存在不诚实的买方/数据经纪人，传统数据交易平台存在许多限制。为了减轻这些限制，我们认为数据处理即服务模型的重要性是对传统数据托管/交换即服务模型的补充。具体而言，在本文中，我们介绍了一个安全的数据交易生态系统，并提出了一个新的基于区块链的数据交易生态系统（以下称为SDTE）。在生态系统中，数据经纪人和买方都无法访问卖方的原始数据，因为他们只能获得所需的分析结果。换一种说法，我们将确保数据集安全的挑战减少到确保数据处理安全的挑战。我们还建立了一个安全模型来分析数据交易市场，并为整个数据交易市场描述一套新的交易协议。为了证明其实用性，我们在以太坊和英特尔的Software Guard Extensions（SGX）上实施了我们建议的安全数据交易平台（SDTP），并进行了深入的分析。