Private data statistical analysis method and device, server and storage medium

Abstract

The invention relates to the technical field of data processing, in particular to a statistical analysis method and device for private data, a server and a storage medium. The statistical analysis method comprises the steps: acquiring a first privacy data set, and sending a data request to a second device, wherein the data request is used for indicating the second device to generate a second privacy data set; sending the size of the first private data set to a second device, and receiving the size of a second private data set fed back by the second device; according to the size of the first privacy data set, the size of the second privacy data set and a preset privacy comparison algorithm, determining a target median of a target data set, wherein the target data set is a data set obtained after the first privacy data set and the second privacy data set are combined; and performing statistical analysis according to the target median. By adopting the statistical analysis method, the privacy data of the user is protected from being disclosed, the user can perform effective statistical analysis by using the determined median, and the circulation value of the data is improved.

Description

technical field [0001] The present application relates to the technical field of data processing, and in particular, to a method, device, server and storage medium for statistical analysis of privacy data. Background technique [0002] With the advent of the era of big data, the importance of data has become increasingly prominent, and open data sharing can meet the needs of different fields for mining and statistical analysis of various types of data. Unlike other production factors, data has the special feature of privacy. Although the demand for data is great, there is very little data that can be truly shared and utilized. In the process of open data sharing, if the data owner directly publishes the real data sharing, it will inevitably lead to the leakage of user privacy. For example, an institution needs to statistically analyze the health requests of a certain age stage based on the medical examination data of users in the hospital. If the hospital directly shares an...

AI Technical Summary

Problems solved by technology

In the process of open data sharing, if the data owner directly releases the real data sharing, it will inevitably cause the leakage of user privacy

For example, an institution needs to statistically analyze health requests of a certain age group based on the physical examination data of users in the hospital. If the hospital directly shares and publishes the real physical examination data of users to the institution, user privacy will be leaked.

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