Data analysis method and system based on data source protection and related equipment

Abstract

The embodiment of the invention discloses a data source protection-based data analysis method and system and related equipment, which are applied to a multi-party computing system, the multi-party computing system comprises a statistical party and M data parties, each data party corresponds to one data source, M is an integer greater than 1, and the method comprises the following steps: generating a homomorphic encrypted public key and private key through the statistical party, sending the public key to each data party; obtaining a first zero vector through a statistical party, and performing homomorphic encryption on the first zero vector to obtain a second zero vector; constructing a target data statistical vector through the M data parties according to the second zero vector and the data sources and the public keys of the M data parties; the statistical party decrypts the target data statistical vector according to the private key to obtain decrypted data; and carrying out statistical analysis on the decrypted data to obtain an analysis result. According to the embodiment of the invention, data statistical analysis of multiple data sources can be realized based on privacy protection.

Description

technical field [0001] The present application relates to the technical fields of data encryption and data processing, and in particular to a data analysis method, system and related equipment based on data source protection. Background technique [0002] With the development of artificial intelligence, the value of data has been paid more and more attention. Data statistics have also become the focus of research. At present, there are many applications of local frequency statistics, and the method of local frequency statistics is relatively simple. Generally, the data is traversed, the number of occurrences of each data is directly counted, and the frequency value of all non-repeated data is finally output. However, since the data of different data sources often have great complementarity, the problem of how to protect the privacy and realize the statistical analysis of data from multiple data sources needs to be solved urgently. SUMMARY OF THE INVENTION [0003] The emb...

AI Technical Summary

Problems solved by technology

Data statistics have also become the focus of research. At present, there are many local frequency statistics applications, and the local frequency statistics method is relatively simple. Generally, the data is traversed, and the number of occurrences of each data is directly counted, and finally the frequency value of all non-repeated data is output. , however, due to the great complementarity of data from different data sources, the problem of how to protect privacy and realize the statistical analysis of data from multiple data sources needs to be solved urgently

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