Distributed Data Trading Model Based on Blockchain

Jingang Yu, Peipei Zhao, Shu Li, Haiting Wang
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Abstract

The current flow and trading of data has been a trend, but the current enthusiasm for data trading is not high. Due to the particularity of data and the current trading pattern of data, the ability of data trading platform to retain trading data has become a potential threat to both sides of the transaction and an obstacle to data trading. Due to the sensitivity of data, how to protect the privacy security of both sides of the transaction is also an important factor hindering the current data transaction. In response to the existing problems, this paper proposes a feasibility plan for data security transactions based on blockchain and in an untrusted environment, and designs a new decentralized transaction platform that will help transform data through online transactions. At the same time, it is technically guaranteed that the platform does not have the possibility of viewing, copying and detaining data, thereby ensuring the secure transaction of data and the privacy of both parties to the transaction.
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基于区块链的分布式数据交易模型
目前数据的流动和交易已经是一种趋势,但目前对数据交易的热情并不高。由于数据的特殊性和当前数据的交易模式,数据交易平台对交易数据的保留能力已经成为交易双方的潜在威胁和数据交易的障碍。由于数据的敏感性,如何保护交易双方的隐私安全也是阻碍当前数据交易的重要因素。针对存在的问题,本文提出了一种基于区块链、非信任环境下的数据安全交易的可行性方案,并设计了一种新的去中心化交易平台,通过在线交易实现数据的转换。同时,从技术上保证了平台不具备查看、复制和保留数据的可能性,从而保证了数据的安全交易和交易双方的隐私。
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