Private data query method and device and electronic equipment

Abstract

The invention provides a private data query method and device and electronic equipment, and relates to the technical field of data security. The method comprises the following steps: receiving a private data query request, wherein the private data query request comprises to-be-queried data; conducting privacy processing on the to-be-queried data through a first secret key, generating first privacy data, wherein the first secret key is provided by a data provider; and sending the first privacy data, so that the first privacy data becomes second privacy data after being processed, and the service platform performs hit query on the privacy data in the privacy database based on the second privacy data. According to the private data query method and apparatus, and the electronic device provided by the invention, real-time online service or support is not provided depending on all data providers any more, and the number of communication rounds and time cost can be reduced on the premise of ensuring security privacy.

Description

technical field [0001] The invention relates to the technical field of data security, in particular to a private data query method, device and electronic equipment. Background technique [0002] At present, when financial institutions handle loans, credit cards and other services for customers, they need to review the qualifications of customers. The content of the review includes but is not limited to blacklist filtering, multi-loan filtering, central bank credit information and other information. Generally speaking, financial institutions' own data (black list, gray list, long-term lending information, etc.) are limited, the coverage is not high, and it is difficult to perform sufficient risk control functions. User screening effect is the future trend. [0003] However, most of the traditional inter-institutional data query (blacklist query, multi-loan query) solutions are based on the sharing of relevant data by all parties in advance, or the query is conducted in a poi...

AI Technical Summary

Problems solved by technology

[0005] However, in order to ensure privacy protection and security during the query process, the online approval process of the aforementioned scheme requires the query party and all data providers to conduct online communication and authorization approval, which will cause problems such as performance and delay when there are many participating nodes. If a node is offline, the business cannot continue, which reduces the availability and scalability of the solution

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