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Method and system for keeping desensitized data association relationship

A data association and sensitization technology, applied in the field of big data, can solve problems such as privacy exposure, and achieve the effect of avoiding query access

Active Publication Date: 2020-02-07
STATE GRID ZHEJIANG ELECTRIC POWER
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, it still cannot avoid the user's access to the original private data, and there is a risk of privacy exposure

Method used

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  • Method and system for keeping desensitized data association relationship

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Experimental program
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Effect test

Embodiment 1

[0026] A method for maintaining desensitized data association relationships, including:

[0027] In step a1, a data generation network model G and a data judgment network model D are established. Preferably, the data generation network model G in this embodiment is a residual neural network, the last layer of which uses the tanh function as the activation function, and the remaining layers use the leaky_relu function as the activation function. The data judgment network model D is a VCG neural network, the last layer of which uses the sigmoid function as the activation function, and the remaining layers use the leaky_relu function as the activation function. The neural network layer using the tanh function as the activation function needs to expand the value range of the output data of the previous layer (that is, the input data of this layer) from the range of 0 to 1 to the range of -1 to 1.

[0028] Step a2, input the original data in the original data set and the simulated...

Embodiment 2

[0042] A system for maintaining desensitized data association relationships is characterized in that it adopts the maintenance method described in one of the embodiments.

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Abstract

The invention belongs to the technical field of big data, and particularly relates to data desensitization in big data. A public data set is generated through a data generation network model to replace the original data set for query, so that real data in the original data set is prevented from being queried and accessed; and meanwhile, the distribution of the data in the public data set and the distribution of the data in the original data set are kept consistent, and the incidence relation between the data in the original data set is reserved.

Description

technical field [0001] The invention belongs to the technical field of big data, and in particular relates to data desensitization in big data. Background technique [0002] With the rapid development of Internet technology, governments and enterprises have accumulated a large amount of sensitive information and data, and these data will be used in many work scenarios. Sensitive personal, financial and health information is subject to a variety of different industry and government data privacy regulations. Organizations that fail to maintain data privacy face severe financial and legal penalties, as well as substantial losses in terms of customers and markets. [0003] The authorized announcement number CN106599713B, the invention patent with the authorized announcement date on April 12, 2019 discloses a database desensitization system and method based on big data. However, it still cannot avoid the user's access to the original private data, and there is a risk of privacy...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F21/62G06N3/04
CPCG06F21/6254G06F21/6227G06N3/048
Inventor 叶卫姚一杨许敏孙嘉赛贺琛吴慧金烂聚王云烨史俊潇张明熙陈逍潇张吉吴建伟王臻孟奇段玉帅
Owner STATE GRID ZHEJIANG ELECTRIC POWER
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