Data transaction localized differential privacy protection method and device based on block chain

A differential privacy and blockchain technology, applied in the blockchain field, can solve problems such as privacy leakage in data transaction scenarios, improve performance and throughput, reduce the risk of privacy leakage, and overcome poor flexibility

Inactive Publication Date: 2019-08-20
CENTRAL UNIVERSITY OF FINANCE AND ECONOMICS
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0006] In view of this, the embodiment of the present invention provides a blockchain-based localized differential privacy protection method and device for data transactions, which solves the problem of privacy leakage in existing data transaction scenarios with large quantities, strong correlations, and diverse needs.

Method used

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  • Data transaction localized differential privacy protection method and device based on block chain
  • Data transaction localized differential privacy protection method and device based on block chain
  • Data transaction localized differential privacy protection method and device based on block chain

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Embodiment Construction

[0062] In order to make the present invention clearer, the technical solution in the present invention will be further described below in conjunction with the embodiments. It should be understood that this embodiment is based on the present technical solution and provides detailed implementation manners and implementation steps, but is not limited to this embodiment.

[0063] The present invention provides a blockchain-based localized differential privacy protection method and device for data transactions, and the described method can be applied to data sharing scenarios in various fields. The method and device utilize the distributed structure, transparency and credibility, safety and reliability, non-tamperable timing, and traceability of the block chain to solve the problem of poor usability and reliability faced by the existing centralized data trading platform, and the transaction is credible. issues of inferiority.

[0064] In order to further optimize the problem of pr...

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Abstract

The invention discloses a data transaction localized differential privacy protection method and device based on a block chain, and mainly solves the problem of privacy leakage of an existing centralized data transaction platform. The method comprises the steps that a data provider locally processes to-be-transacted data through a random response technology to achieve Epsilon-local differential privacy; the data storage address, the integrity check code and the data transaction condition are broadcasted to a block chain network node in a data transaction form; and the data provider and the datademander complete credible data transactions in the blockchain network. The privacy disclosure problem in a large number of data transaction scenes with high relevance and various requirements can besolved, and meanwhile the defects that an existing block chain-based data transaction method is poor in flexibility, high in calculation expenditure, low in practicability and the like are overcome.

Description

technical field [0001] The present invention relates to the technical field of block chains, in particular to a method and device for localized differential privacy protection of data transactions based on block chains. Background technique [0002] Data transaction is a new type of transaction, which is of great significance to breaking down data circulation barriers, connecting data islands, giving full play to the economic value of data, and promoting the transformation and upgrading of the real economy to the digital economy. According to the incomplete statistics of the "2016 White Paper on China's Big Data Trading Industry", the size of my country's big data trading market in 2015 was 3.385 billion yuan, and it is expected to reach 54.5 billion yuan by 2020. [0003] However, the existing data trading platforms include government-led data trading platforms represented by Guiyang Big Data Exchange, Shanghai Data Trading Center, Wuhan East Lake Big Data Trading Center, e...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q20/38
CPCG06Q20/3829
Inventor 高胜朴桂荣朱建明章宁
Owner CENTRAL UNIVERSITY OF FINANCE AND ECONOMICS
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