Zero-knowledge proof-based method and system for protecting user identity privacy

Abstract

A zero-knowledge proof-based method for protecting user identity privacy comprises the steps as follows: S1, identity secret key requesting: a data user transmits identity secret key generation request information to an identity management centre via an established secure channel; S2, identity secret key generation: the identity management centre uses the identity information of the data user; S3, public parameter setting: public parameters of the data user and a big-data releasing platform are set; S4, zero-knowledge proof protocol execution: an interactive zero-knowledge proof protocol is executed between the data user and the big-data releasing platform; S5, shared secret key requesting: the data user transmits shared secret key generation request information to the identity management centre via the secure channel; S6, shared secret key generation: the identity management centre generates a shared secret key for the data user and the big-data releasing platform; S7, account number and password generation: the big-data releasing platform generates a temporary account number and a corresponding password for the data user and establishes the secure channel.

Description

technical field [0001] The invention relates to the technical field of computer information security, in particular to a zero-knowledge proof-based user identity privacy protection method and system. Background technique [0002] Big data contains a large amount of original information. Through the analysis and use of big data, users can obtain knowledge laws and development trends about things more effectively and accurately. However, while big data brings convenience and benefits to users, it also brings harm to the leakage of user identity and privacy. [0003] A large number of facts show that when users use big data, their identity information and behavior status will be recorded, and their identity privacy is facing a great threat. Moreover, in the big data environment, the threat faced by users is not limited to the leakage of personal privacy, but also lies in the prediction of user status and behavior based on big data. Many researches and implementations often be...

AI Technical Summary

Problems solved by technology

But in fact, only through anonymity and generalization can not protect the user's identity privacy very well

This is due to the cumulative and associated nature of user record data, a single record may not expose the user's identity privacy, but if multiple user behavior records can be associated together, the user's identity privacy may be compromised. exposed

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