Multi-party joint privacy data processing method and device

A technology of privacy data and data parties, which is applied in electronic digital data processing, digital data protection, secure communication devices, etc., can solve problems such as leakage of user privacy data and damage to user interests, so as to protect data privacy and efficiently combine data computing and processing. , the effect of reducing the amount of communication
CN112989368AActive Publication Date: 2021-06-18ALIPAY (HANGZHOU) INFORMATION TECH CO LTD
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
ALIPAY (HANGZHOU) INFORMATION TECH CO LTD
Publication Date
2021-06-18

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Abstract

The embodiment of the invention provides a method and a system for processing private data through combination of multiple parties, the multiple parties comprise a management party and n data parties, and the method comprises the following steps. Each data party encrypts the original privacy data held by the data party by using the system public key and adopting an agreed homomorphic encryption algorithm to obtain corresponding ciphertext data, wherein the system public key is obtained by aggregating n + 1 basic public keys respectively corresponding to multiple parties. And then at least one of the multiple parties performs homomorphic operation on the n parts of ciphertext data according to a preset rule to obtain a ciphertext operation result. And each participant performs partial decryption on the ciphertext operation result by using the private key of the participant to obtain a partial plaintext result. And the management party performs aggregation operation on the plaintext result of each part to obtain a plaintext operation result.
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Description

technical field

[0001] One or more embodiments of this specification relate to encrypted data processing, and in particular to a method and device for multi-party joint processing of private data. Background technique

[0002] In the context of big data, it is often necessary to comprehensively process business data from different data sources. For example, in the merchant classification analysis scenario based on machine learning, the electronic payment platform has the merchant's transaction flow data, the e-commerce platform stores the merchant's sales data, the banking institution has the merchant's loan data, and the model party has the modeling parameter data . For another example, in the scenario where multiple parties conduct user credit analysis, party A holds the deposit data of the user to be analyzed, party B holds the user's transaction data, party C holds the user's social interaction data, and party D holds the data processing model .

[0003] In the proces...

Claims

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