Design And Implementation Of Data Trading Platform Based On Blockchain And Privacy Computing

With the continuous increase in the volume of data and the continuous improvement of the intrinsic value of data,it has become particularly important to make full use of the value of centralized data in major traditional organizations and play its role as a production factor in the digital economy era.However,the traditional data trading platform as the carrier of transferring data value has many problems,such as the loss of data ownership and the leakage of original data information.How to conduct data transactions while ensuring the invisibility of data and the determination of data ownership has become an urgent problem to be solved.Based on the above background,the one-stop data transaction platform with data which is available and invisible and data ownership confirmed is designed and implemented in this thesis,combined with the respective characteristics of two emerging technologies,blockchain and privacy computing,for this special data transaction requirement.The main research contents and contributions of this thesis include:(1)In view of the problem of loss of data ownership caused by traditional data transaction methods,blockchain technology is used in this thesis as the underlying technology of the platform to provide identity right management and collaborative management of data ownership,so that users can clearly define data ownership in the process of data transactions.(2)Aiming at the problem of data privacy leakage caused by the data clear text exchange of traditional data trading platforms,privacy computing technology is used in this thesis to make user data available but invisible,and proposes a customized data computing scheme for traditional data transaction forms.The design implements the computing task execution module,so that the data demander can write the computing logic according to its own computing requirements,not only limited to the interface functions designed by the data provider.(3)For the construction of the data trading platform ecology,this platform builds the concept of credit score through the chaincode,and designs and implements the incentive strategy after the transaction is completed.Both parties to the transaction will pay in fiat currency on the third-party payment platform entrusted by the platform,and after payment,the chaincode will generate credit points and distribute them to both parties.The points are used as the credit credentials of the entire platform,and can also be the indicator to decide whether to authorize access to the final calculation result.(4)For data compliance detection,this platform has added a step to review data before uploading data to ensure data security and compliance,and designed and implemented an incentive mechanism based on the amount of data.The compliant data uploader can get corresponding incentives,and for non-compliant data,the data uploader will be punished accordingly by the platform.After a detailed functional test,the functions designed by the platform can run normally,and can solve the above problems and meet the actual business needs on the basis of not displaying the data.