Data sharing method based on block chain

Abstract

The invention discloses a data sharing method based on a block chain. The data sharing method based on the block chain establishes a new data management model with the help of the block chain technology; and the core idea is that the original data is not separated from the control range of the data provider, the data analysis is completed by the data provider, and only the analysis result data issent. 1) in order to find out the data effectively, the index establishment mechanism of the data provider is discussed, including the metadata extraction mechanism and the establishment mechanism ofthe domain index; 2) the data transaction based on the block chain is analyzed, including the transaction record format and the consensus mechanism, so as to realize transparent transaction of the data and anti-collusion fraud, etc.; and 3) the security calculation with privacy protection is realized between each data provider through the way of intelligent contract according to the computing requirements of the data demand side. The experimental analysis results show that the data sharing method based on the block chain is feasible and safe.

Description

Technical field [0001] The present invention relates to the technical field of blockchain data sharing, in particular to a research on a blockchain-based data sharing method. Background technique [0002] Data sharing is a prerequisite for mining its potential value from data assets. Traditional data management methods, such as data markets, follow the following management model: data providers upload data to the data market, and data demanders download and analyze data to obtain data value. This model has the following significant disadvantages: First, the data search method is single, and only keyword retrieval or data browsing is provided, and useful data cannot be obtained efficiently; second, the data owner loses control over the data, and data ownership and data security cannot be guaranteed; Finally, data transactions lack transparency and cannot effectively detect fraudulent activities such as collusion among transaction participants. [0003] This method establish...

AI Technical Summary

Problems solved by technology

This model has the following significant disadvantages: First, the data search method is single, and only keyword retrieval or data browsing is provided, and useful data cannot be obtained efficiently; second, the data owner loses control over the data, and data ownership and data security cannot be guaranteed; Finally, data transactions lack transparency and cannot effectively detect fraudulent activities such as collusion among transaction participants

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