System and method of data order transaction based on blockchain technology

Abstract

The present invention discloses a system and a method of data order transaction based on a blockchain technology. The system comprises a data purchasing terminal, a data provider and a smart contracton a block chain; the data purchasing terminal comprises a data receiving module, a data verification module, a caution monitoring module and a receipt module; the data provider comprises a smart contract checking module, a fund extraction module and a receipt monitoring module; and the smart contract on the blockchain comprises a smart contract interaction module and a data order contract. The system and the method employ automation and decentration features of the smart contract of the blockchain to provide a new data transaction means and enlarge the transaction range of current data transaction so as to achieve data marketability of personal and small and micro businesses, improve the data sharing rate, show the value of data itself and protect privacy of the data provider.

Description

technical field [0001] The invention relates to the field of information security, in particular to a data order transaction system and method based on block chain technology. Background technique [0002] At present, data transactions in the market are not common, mainly large-scale data transactions. Both parties of the data transaction require sufficient scale and transparency. The data transaction itself requires a third party or a centralized authority to participate in the deposit. Therefore, there are the following problems: [0003] 1. Existing trading methods have poor support for scattered data holders: personal user data and small and micro enterprises are difficult to reach transactions with data demanders due to their small data scale. Even if the data is authentic and reliable, it is not liquidizable. [0004] 2. Existing transaction methods are complicated and expensive: when trading data, both parties need to provide enough proof materials for the third-part...

AI Technical Summary

Problems solved by technology

[0003] 1. Existing trading methods have poor support for scattered data holders: personal user data and small and micro enterprises are difficult to reach transactions with data demanders due to their small data scale. Even if the data is authentic and reliable, it is not liquidable

[0004] 2. Existing transaction methods are complicated and expensive: when trading data, both parties need to provide enough proof materials for the third party organization, and the procedures are complicated, which increases the cost of data transactions

[0005] 3. The data value of a large amount of data is difficult to reflect: the data stored in the hands of a large number of individual users, such as health data, has great research value, but because there is no good means of collection and sharing, its data value is difficult to be reflected

[0006] 4. It is difficult to protect the privacy of the data provider: both parties to the data transaction require transparency and visibility, and the data provider has the risk of leaking personal information

The widespread risk of privacy leakage has seriously affected the enthusiasm of data providers for data sharing, thereby destroying the liquidity of data

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