Private data hiding and sharing method

Abstract

The invention discloses a private data hiding and sharing method. The method comprises the following steps: an initiator distributes each data in an ID data set A to a storage position in a corresponding Hash bucket for storage by adopting a cuckoo Hash algorithm, and a participant distributes each data in an ID data set B to a storage position in a corresponding Hash bucket for storage by adopting a simple Hash algorithm; the initiator and the participant cooperatively use a secret sharing algorithm to compare data stored in each hash bucket of the cuckoo hash with all data stored in the hash bucket with the same serial number of the simple hash, and the initiator and the participant obtain comparison results respectively; the initiator calculates a shared value fragment G1 corresponding to each hash bucket, and the participant calculates a shared value fragment G2 corresponding to each hash bucket; according to the invention, the participant can share one part of the feature data corresponding to the intersection ID data of the initiator to the initiator, and the ID data of both parties are not leaked, so that the privacy and security of private data of both parties are protected.

Description

technical field [0001] The invention relates to the technical field of data sharing, in particular to a private data hiding sharing method. Background technique [0002] The Personal Information Protection Law clearly proposes to de-identify and anonymize enterprise data interaction. De-identification refers to the process in which personal information is processed so that it cannot identify a specific natural person without additional information. Refers to the process of processing personal information that cannot identify a specific natural person and cannot be recovered. [0003] At present, if the two parties want to perform some statistical calculations on the data of the intersection users or use the data of the intersection users for joint modeling, they first need to perform a privacy set intersection on the ID data of the two parties, without leaking the ID data information outside the intersection. In this case, the intersection results of both parties are obtain...

AI Technical Summary

Problems solved by technology

[0003] At present, if the two parties want to perform some statistical calculations on the data of the intersection users or perform joint modeling with the data of the intersection users, they first need to conduct a private set intersection of the ID data of the two parties, without leaking the ID data information other than the intersection. In this case, the intersection results of both parties are obtained, and then the plaintext feature data corresponding to the ID data of the intersection is shared, but this will leak the ID data of the intersection and the feature data corresponding to the ID data

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