A method for implementing secure display of private data on a third-party platform

Abstract

The invention discloses a secure display implementation method of privacy data on a third party platform. By adoption of the method, the secure display of the privacy data on the third party platform is realized, therefore the data are not merely limited to the communication between the data platform and the user, any authenticated third party platform can display his own privacy data for the user, but cannot steal the data. Compared with other privacy data display implementation methods, the privacy data display implementation method provided by the invention has the advantages that the data are not transmitted to the third party platform, and the data subjected to privacy processing can be displayed. The service flow of the privacy data display implementation method provided by the invention further comprises an automatic processing method of user authentication, which can be used for intelligently identifying the matching degree of an ID picture held by the user and realizing fast batch processing of user authentication. In addition, abnormal device login detection in the flow provided by the invention also increases the security of the privacy data of the user.

Description

technical field [0001] The invention belongs to the technical field of personal privacy data protection, and in particular relates to a method for implementing secure display of private data on a third-party platform. Background technique [0002] With the continuous development of Internet technology in recent years, big data has gradually become popular. Most of the data in big data comes from users and sensors, including user identity information, behavior information, medical information and other aspects. How users securely obtain such information from information providers has become a difficult problem, so some private data release platforms have emerged, which are specially used to release these private data to users. [0003] The traditional data publishing platform only cares about the efficiency and reliability of data transmission. The privacy data publishing platform redesigns the data publishing process for the traditional data publishing platform, thereby add...

AI Technical Summary

Problems solved by technology

But they also have some defects of their own. One is that the authentication process is relatively simple, only for user identity authentication, so that users cannot obtain private data through the third-party platform, because the data forwarded through the third-party platform is likely to be stolen; The second is the high degree of coupling with the enterprise's own cloud products. Many functions need to run together with other cloud products of the enterprise, which reduces the optionality of software usage.

[0006] On the other hand, some ERP systems represented by HIS often have very complex functions, and the data will also have huge differences according to different application scenarios.

However, these data are often highly privacy-related. For example, HIS will store a large amount of patient prescription information, laboratory information, diagnostic information, etc., but the consequences of leakage are very serious.

The focus of these ERP systems is business logic, and the guarantee of security often relies on the intranet, which can only interact with specific software, and cannot provide data to any third-party platform without being stolen

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