A method for data fusion and data privacy protection based on hash algorithm and session control

Abstract

The invention relates to a method for realizing data fusion and data privacy protection based on a Hash algorithm and the session control. The method comprises the following steps that a demand module sends a query request after Hash calculation to a mapping data providing module; the mapping data providing module inquires whether the data exists or not; a demand module queries the provider data from the portrait data providing module; a portrait data providing module inquires the previous n hash value lists; the mapping data providing module returns the hit information to the portrait data providing module; and the portrait data providing module queries the data. By the adoption of the method for realizing data fusion and data privacy protection based on the Hash algorithm and the session control, the leakage of the high-sensitivity information caused by query of low-sensitivity information is avoided, and the data derogatory caused by the data diffusion is also avoided. According to the implementation scheme, the user privacy information of three parties cannot be leaked except the user portrait information, so that the data privacy and the data security of the individual users and the enterprise users are guaranteed.

Description

technical field [0001] The invention relates to the field of data protection, in particular to the field of user data fusion protection, and specifically refers to a method for realizing data fusion and data privacy protection based on a hash algorithm and session control. Background technique [0002] Data incompleteness issues: [0003] In fact, companies that provide services to individual users have user data of different dimensions. For each company, the user data it owns is incomplete. for example: [0004] ·A company that provides burying services for apps only has information about mobile devices and which apps the user has installed (the user’s interest characteristics can be deduced based on the user’s installation list) and the user’s active time; [0005] An application that provides H5 business services through mobile phone registration, he only knows the user's mobile phone number and the data of his own service content; [0006] · Apps that provide services...

AI Technical Summary

Problems solved by technology

[0016] Data compliance issues: Device information and mobile phone numbers are highly sensitive information, while user characteristics are low-sensitive information. In this case, a query of low-sensitive information resulted in the leakage of highly sensitive information;

[0017] Data depreciation caused by data diffusion, in these different query scenarios, allows other parties to obtain unnecessary data, and the data provider will be able to accumulate and exchange data, reducing the value of the original provider's data

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