Data analysis method, noise construction method, equipment and storage medium

A data analysis and noise technology, applied in the field of data processing, can solve problems such as unavailability of analysis results and privacy leakage, and achieve the effect of ensuring security and usability

Pending Publication Date: 2022-04-05
ALIBABA GRP HLDG LTD
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Problems solved by technology

[0003] At present, the attribute analysis value is usually added noise within the uniform Laplacian noise range, which leads to the fact that when the attribute analysis value is relatively small, the added noise may be too large, resulting in

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  • Data analysis method, noise construction method, equipment and storage medium
  • Data analysis method, noise construction method, equipment and storage medium
  • Data analysis method, noise construction method, equipment and storage medium

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[0038] In order to make the objectives, technical solutions and advantages of the present application clearer, the technical solutions of the present application will be clearly and completely described below with reference to the specific embodiments of the present application and the corresponding drawings. Obviously, the described embodiments are only a part of the embodiments of the present application, but not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present application.

[0039] In the existing differential privacy protection process, due to the unreasonable addition of noise, the analysis results are often unavailable or data leaks. In order to improve these technical problems, in some embodiments of the embodiments of the present application, the noise parameter can be adaptively selected accordi...

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Abstract

The embodiment of the invention provides a data analysis method, a noise construction method, equipment and a storage medium. In the embodiment of the invention, the noise parameter can be adaptively selected according to the original analysis value under the target analysis label, and then the noise needing to be added to the original analysis value under the target analysis label is determined according to the selected noise parameter, so that the analysis result under the target analysis label is obtained. Accordingly, in the differential privacy protection process, the original analysis values of the different analysis tags can serve as the basis, the noise parameters used by the different analysis tags are determined in a self-adaptive mode, and therefore the range of the added noise under the different analysis tags is reasonably controlled, and the range of the added noise is made to be matched with the original analysis values. Therefore, the security of the data can be ensured, and the availability of the analysis result can also be ensured.

Description

technical field [0001] The present application relates to the technical field of data processing, and in particular to a data analysis method, a noise construction method, a device, and a storage medium. Background technique [0002] The Laplacian mechanism with differential privacy protection can provide privacy protection for the data analysis process. Under the Laplacian mechanism, Laplacian noise can be added to the attribute analysis value to achieve differential privacy protection. [0003] At present, the attribute analysis value is usually added noise within the uniform Laplacian noise range, which leads to the fact that when the attribute analysis value is relatively small, the added noise may be too large, resulting in unusable analysis results; or, the attribute When the analysis value is relatively large, the added noise may be too small, resulting in the analysis result being infinitely close to the attribute analysis value, resulting in privacy leakage. Cont...

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Application Information

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IPC IPC(8): G06F16/906G06F21/62
Inventor 梁爱平高爱强原攀峰宋百灵
Owner ALIBABA GRP HLDG LTD
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