Data value evaluation method based on block chain smart contract

A technology of smart contracts and value evaluation, applied in data processing applications, instruments, payment systems, etc., can solve problems such as reducing the enthusiasm of data holders and data demanders to share, data leakage and infringement, and difficult real-time sharing, etc., to improve transactions. positivity, safety-enhancing effect

Pending Publication Date: 2022-06-07
ZHEJIANG UNIVERSITY OF SCIENCE AND TECHNOLOGY
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Problems solved by technology

Therefore, traditional data sharing trading platforms are prone to data leakage and infringement, difficulty in real-time sharing, and miscalculation of data value, which directly reduces the sharing enthusiasm of data holders and data demanders, and affects the development of data assetization and capitalization. process

Method used

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  • Data value evaluation method based on block chain smart contract
  • Data value evaluation method based on block chain smart contract
  • Data value evaluation method based on block chain smart contract

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Embodiment Construction

[0070] The present invention will be further described below in conjunction with the accompanying drawings.

[0071] like figure 1 and 2 As shown, the data value evaluation method based on the blockchain smart contract of the present invention is applied to the data trading platform with the blockchain technology as the core, and the process steps include:

[0072] Step 1. Registration data information and initial value assessment

[0073] The data holder calls the smart contract DataDesc to write the summary information of the data commodity into the blockchain, and then evaluates the value of the data based on the data privacy loss pricing mechanism to complete the "bargaining" in the transaction between the two parties. In this process, only the data holder can call the smart contract PrivacyLoss to prevent the data holder from tampering with the data price in order to defraud profits, thereby ensuring that he will not cheat.

[0074] Step 2. The data demander submits da...

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Abstract

The invention discloses a data value evaluation method based on a block chain smart contract. The method comprises a bilateral pricing mechanism composed of pricing based on data privacy loss and pricing based on data quality attenuation. According to the pricing mechanism based on the data privacy loss, firstly, the privacy loss of different data commodities is analyzed and quantified according to a set pair, and then the prices of the data commodities are determined according to the total privacy loss and a no-arbitrage pricing function; according to the pricing mechanism based on data quality attenuation, the privacy loss pricing is firstly calculated, and then the final pricing of the data commodity is determined according to the accuracy of the data summary information and the life cycle of the data. Determining an initial price of the data resource; a plurality of data owners submit guarantee deposits, and the guarantee deposits are added into a candidate queue by the smart contract; and the data demander selects a final transaction according to the similarity between the data summary information and the demand data description and the historical performance of the demander, and after the object transaction is finished, the data demander evaluates the data commodity again to obtain a final price and performs settlement.

Description

technical field [0001] The invention relates to the field of intangible asset evaluation, in particular to a data value evaluation method based on a blockchain smart contract. Background technique [0002] In recent years, it has become the general trend for big data to be resource-based, capitalized, and capitalized. Traditional data sharing and trading platforms usually rely on a trusted agent, which not only fails to consider the security and quality of data, but also lacks an efficient data exchange mechanism and a reasonable data pricing mechanism from the perspective of sharing subjects such as buyers and sellers. Therefore, traditional data sharing and trading platforms are prone to problems such as data leakage and infringement, difficulty in real-time sharing, and miscalculation of data value, which directly reduces the sharing enthusiasm of data holders and data demanders, and affects the development of data assetization and capitalization. process. SUMMARY OF T...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q20/38G06Q20/40G06Q30/02G06V40/16G06V10/74G06V10/774G06V10/764G06K9/62
CPCG06Q20/3827G06Q20/3829G06Q20/4016G06Q30/0283G06F18/22G06F18/2411G06F18/24323G06F18/214
Inventor 徐华杰万健张金英张蕾黄杰王海江秦征
Owner ZHEJIANG UNIVERSITY OF SCIENCE AND TECHNOLOGY
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