Data label distribution determination method, device, computer equipment and storage medium

Abstract

The present application relates to a method, device, computer equipment and storage medium for determining the distribution of data tags. The method includes: obtaining the tag ciphertext information sent by the tag side device after performing homomorphic encryption processing on the sample tags corresponding to multiple sample IDs; obtaining The initial binning information corresponding to the sample feature set, the sample feature set includes the sample features corresponding to multiple sample identifiers, the initial binning information includes the initial binning corresponding to each sample feature; each initial binning information is obtained based on the tag ciphertext information and the initial binning information Initial ciphertext statistical information corresponding to binning; obfuscate each initial ciphertext statistical information to obtain the target ciphertext statistical information sequence; obtain the target decryption statistics returned after the label device performs homomorphic decryption on the target ciphertext statistical information sequence The information sequence restores the target decryption statistical information sequence to obtain the initial label distribution information corresponding to each initial binning. By adopting the method, the security of data interaction can be improved.

Description

technical field [0001] The present application relates to the field of computer technology, in particular to a method, device, computer equipment and storage medium for determining data tag distribution. Background technique [0002] With the development of computer technology, the data that can be transmitted and stored on the network is increasing day by day. Different departments of different companies usually store and maintain different data. For example, department A stores the labels of samples, and department B stores the characteristics of samples. [0003] Based on business needs, different departments of different companies sometimes need to interact with each other to conduct data analysis. For example, department B can use the tag data of department A to determine the distribution of local sample tags. However, holders who store and maintain different data usually maintain their own data independently. Direct data interaction is not conducive to maintaining the...

AI Technical Summary

Problems solved by technology

However, holders who store and maintain different data usually maintain their own data independently. Direct data interaction is not conducive to maintaining the data privacy of both parties, which will lead to data leakage and pose certain security risks.

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