A method and system for data sharing and confidential query based on block chain technology

Abstract

The present invention relates to a method and system for data sharing and confidential query based on block chain technology, the method comprising: building a block chain data platform; a data demander issuing a data demand contract; a data provider issuing a data release contract, data generalization Contract and certificate management contract, the data generalization contract includes the data number generalization list of the data to be shared, the certificate management contract includes the public key certificate list required in OT query; the data demander synchronizes the data number generalization list and the public key certificate list ;The data demander applies for authorization based on the data publishing contract. After authorization, the query target is generalized based on the data number generalization list and the public key certificate list and initiates an OT query; the data provider receives the OT query and returns data; the data demander receives the returned data and decrypt it. Compared with the prior art, the present invention guarantees the privacy of both the data supplier and the demander, solves the trust and security issues of all parties, and realizes the safe circulation and sharing of data among various entities.

Description

technical field [0001] The present invention relates to a data sharing and confidential query method and system, in particular to a data sharing and confidential query method and system based on block chain technology. Background technique [0002] In the context of the information age, data-driven automation and intelligentization of business processes is the current industry-wide trend. Organizations and enterprises have begun to attach importance to the value of data. By connecting various types of data within the organization and portraying user portraits, automatic business process decision-making and However, judging from the current industry situation, the degree of business automation is still relatively low, and many businesses still need to be collected offline by the handling personnel. The reasons are analyzed, and the pain points are as follows: [0003] 1. It is difficult to exchange data between institutions. In addition to the internal data of the organizatio...

AI Technical Summary

Problems solved by technology

[0003] 1. It is difficult to exchange data between institutions. In addition to the internal data of the organization, a large amount of external data is also required for business development. The larger the amount of data obtained, the richer the data types, and the more accurate the portrayal of customers. Part of the business can be carried out in an orderly manner under the image of the enterprise, but there is no unified standard for data sharing among multiple institutions, and the difficulty and cost of data acquisition are very high, thus hindering the advancement of data sharing

[0004] 2. The issue of data security is also one of the reasons hindering data sharing among institutions. The data provider is worried about the risk of data exposure, and the data demander is worried about the exposure of data usage. Based on the data exchange in this case, protocol constraints are basically adopted, and in the constraint framework Provides limited data under , which is not conducive to the expansion of data sharing

[0008] As a result, at present, the data between various institutions and enterprises is basically unable to interact smoothly. In the process of business development, the key data is basically realized by offline entry or inter-system docking. For offline entry, the business operation specification and multiple Level audits are used to avoid business risks, but data accuracy cannot be improved in essence; for inter-system access, not only the call cost is high and the efficiency is low, but at the same time, there are trust issues in business calls

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