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Data pricing method and device based on evaluation income and contribution degree

A technology of contribution degree and data, applied in the data pricing method and device field based on the evaluation of income and contribution degree, can solve the problem of inability to objectively measure the degree of income and contribution degree, and achieve the effect of improving efficiency and real-time performance and ensuring privacy and security.

Pending Publication Date: 2022-05-10
蓝象智联(杭州)科技有限公司
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  • Description
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AI Technical Summary

Problems solved by technology

Due to the double-blind identity of the query and the queried party, it is impossible to objectively measure the degree of income and contribution of each participating node
At present, there is no large-scale use of multi-party secure computing for data transactions, and transaction-based pricing algorithms

Method used

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  • Data pricing method and device based on evaluation income and contribution degree
  • Data pricing method and device based on evaluation income and contribution degree
  • Data pricing method and device based on evaluation income and contribution degree

Examples

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Embodiment Construction

[0040] The specific embodiment of the present invention will be further described below in conjunction with accompanying drawing:

[0041] Such as figure 2 As shown, the data pricing method based on the evaluation of benefits and contributions includes the following steps:

[0042] 1) Initialize the cumulative number of queries and payment weights of each multi-party secure computing node, the cumulative number of data retrieved and payment weights, the cumulative number of hits and charging weights;

[0043] 2) After completing a query, obtain the number of times each multi-party security computing node queries each time, the number of data found, and the number of hits;

[0044] 3) After obtaining the data, add up the number of queries, the number of data found, the number of hits and the last data for each multi-party security computing node, and enter the results into the blockchain node, broadcast to all nodes in the alliance, and form a distributed ledger;

[0045] 4...

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PUM

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Abstract

The invention relates to a data pricing method for privacy calculation, in particular to a data pricing method based on evaluation income and contribution degree. Obtaining the number of queries each time, the number of queried data and the number of hit times of each multi-party security computing node; the number of query times, the number of queried data and the number of hit times of each multi-party security computing node are accumulated with the last data, and a result is input into a block chain node and broadcasted to all nodes in the alliance to form a distributed account book; calculating the income and contribution degree of each multi-party security calculation member; performing expense settlement on each member according to a predetermined intelligent contract model; according to the method, the data in the calculation process is accumulated and stored in the block chain nodes, and a consensus is formed in the alliance, so that clearing and settlement can be quickly performed according to the income and the contribution degree, and the efficiency is greatly improved. Meanwhile, data in the calculation process is not leaked in a data accumulation mode, and data safety is protected.

Description

technical field [0001] The present invention relates to a data pricing method for privacy computing, in particular to a data pricing method and device based on evaluating income and contribution degree. Background technique [0002] In multi-party security computing, in the alliance, when alliance members query whether the same data exists in the alliance, the query request is forwarded through the coordination node. The querying member does not know which members of the queried party are hit, and the queried party cannot know who made the query , which realizes identity double-blindness and protects data privacy when querying through multi-party secure computing. The coordinating node can obtain the result of each query and return it to the querying party, but the coordinating node does not know the content of the query, such as figure 1 shown. [0003] The current data pricing is charged by packaging the call interface and counting the number of calls. Due to the double...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q30/02G06Q20/14G06F21/60G06F21/62G06F16/2458
CPCG06Q30/0283G06F21/602G06F21/6245G06Q20/14G06F16/2462
Inventor 赵明飞刘登涛谷胜才钟马明张程程
Owner 蓝象智联(杭州)科技有限公司
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