Data desensitization method and system based on power grid data acquisition

A data collection and data desensitization technology, applied in the fields of electrical digital data processing, digital data protection, natural language data processing, etc., can solve the problem of data desensitization that cannot meet the needs of multi-dimensional and multiple data types, data leakage, cracking, etc. question
CN113282961AInactive Publication Date: 2021-08-20WUHAN ZHONGYUAN ELECTRONICS INFORMATION
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
WUHAN ZHONGYUAN ELECTRONICS INFORMATION
Publication Date
2021-08-20
Estimated Expiration
Not applicable · inactive patent

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Abstract

The invention relates to a data desensitization method and system based on power grid data acquisition. The method comprises the following steps: acquiring multi-dimensional power data and identifying sensitive data in the multi-dimensional power data; drawing a frequency histogram according to the frequency of each data item of each sensitive data, and fitting a first distribution curve according to the frequency histogram; using the trained generative adversarial neural network to generate a second distribution curve, wherein the distribution distance between the second distribution curve and the first distribution curve is less than a threshold value; and returning sensitive data in an external request of the multi-dimensional data according to the second distribution curve and Laplacian noise. According to the method, approximate distribution of sensitive data is dynamically generated through the generative adversarial neural network, desensitization of data with different sensitivities is realized in combination with Laplacian noise, and the requirements of different data application scenes are met.
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Description

technical field

[0001] The invention belongs to the field of electric power data processing, and in particular relates to a data desensitization method and system based on grid data collection. Background technique

[0002] At present, the big data platform built within the State Grid stores a large amount of sensitive data such as power marketing data, power dispatching data, and personal power consumption information. These data involve personal privacy and company secrets, and there is no effective processing mechanism in the data generation, transmission, storage, processing, and use. There are hidden dangers of privacy leakage, leakage of user privacy information, and leakage of sensitive data within the State Grid. , directly causing double losses to the State Grid’s reputation and economy.

[0003] On the other hand, a large amount of power data needs to be mined and analyzed. It is undoubtedly a waste of the big data platform to block and hide the data too much. How...

Claims

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