Method and device for generating security calculation secret key and performing security calculation

Abstract

The embodiment of the invention provides a method and a device for generating security calculation keys and performing security calculation by two parties in a combined manner. The security calculation uses a distributed point function that maps an integer alpha to a predetermined value beta in a k-bit integer ring. The method for generating secret keys comprises the following steps: generating binary trees by both parties respectively, and initializing a label value of a root node; performing label assignment on the binary trees layer by layer, wherein for each node of the jth layer, a temporary label value is generated according to a father node of the node; then the two parties determine a correction factor corresponding to the jth layer through MPC based on a fragment of alpha; and the temporary label value is corrected by using the correction factor to obtain label values of the nodes, so that the difference between the label values of puncturing nodes of the two parties is a constant and the label values of of non-puncturing nodes of the two parties are the same; then determining, by each party, an output correction value based on a leaf node label value and a fragment of beta; and generating, by each party, a secret key which comprises the label value of the root node, the correction factor and the output correction value.

Description

technical field [0001] One or more embodiments of this specification relate to the field of data privacy and security, and in particular to methods and devices for generating secure computing keys and performing secure computing. Background technique [0002] With the development of computer technology, machine learning has been applied to various technical fields to analyze and process various business data. The data needed for machine learning often involves multiple fields. For example, in the scenario of merchant classification analysis based on machine learning, the electronic payment platform has the transaction flow data of the merchants, the e-commerce platform stores the sales data of the merchants, and the banking institution owns the merchants. loan data. Data often exists in silos. Due to issues such as industry competition, data security, and user privacy, data integration faces great resistance, and it is difficult to integrate data scattered across various p...

AI Technical Summary

Problems solved by technology

Due to issues such as industry competition, data security, and user privacy, data integration faces great resistance. It is difficult to integrate data scattered across various platforms for machine learning model training.

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