Big data safe integration method capable of protecting privacy

Abstract

This invention relates to a big data safe integration method. The method comprises the following steps: a first party and a second party negotiate about associated fields, data items required by the first party and the second party and a sorting rule; based on the data items required by the first party and the second party, screening a first to-be-integrated data set and a second to-be-integrated data set from a first data set and a second data set; according to the sorting rule, sorting the first to-be-integrated data set and the second to-be-integrated data, and removing the data corresponding to the associated fields from the first to-be-integrated data set and the second to-be-integrated data; submitting the first to-be-integrated data set and the second to-be-integrated data to a third party computing platform to form an integrated data set; and generating a result data set after the third party computing platform analyzes and calculates the integrated data set. By adopting the method, the big data is integrated, and simultaneously the private data is effectively prevented from being leaked; thus, the information is shared on the premise of ensuring the data security.

Description

technical field [0001] The invention relates to a big data security fusion method. Background technique [0002] With the introduction of the national "Internet +" strategy, the demand for big data integration among various industries is becoming more and more urgent. However, on the one hand, different organizations welcome the sharing of big data. The introduction of fusion of different types of data can produce new analysis results, and the value of data will thus have a multiplier effect; There are concerns about the leakage of private data in the Internet, because the final analysis result is often only a statistical conclusion, but in the process of big data fusion calculation, all the entry details of the data have to be exposed to the other party. This problem has become a major obstacle to inter-industry collaboration and sharing of big data. [0003] Therefore, those skilled in the art desire to obtain a reliable big data security fusion method that effectively s...

AI Technical Summary

Problems solved by technology

However, on the one hand, different organizations welcome the sharing of big data. The introduction of fusion of different types of data can produce new analysis results, and the value of data will thus have a multiplier effect; There are concerns about the leakage of private data in the Internet, because the final analysis result is often only a statistical conclusion, but in the process of big data fusion calculation, all the entry details of the data have to be exposed to the other party

This problem has become a major obstacle to big data collaboration and sharing among industries

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