Data authority management method based on identifier analysis

Abstract

The invention discloses a data authority management method based on identifier analysis, which comprises the following steps that: a login verification module acquires identity information of a visiting user, judges whether the visiting user is a registered user, and forwards a data query request sent by the user to a dynamic calculation module if the visiting user is the registered user; if not, forwarding the data query request to a data management module; the dynamic calculation module receives the data query request, gives a corresponding query permission level according to identity information of a visiting user, binds the query permission level with the data query request and then sends the data query request to the data management module; the data management module receives the data query request and judges whether the data query request is bound with an authority level or not, and if yes, non-public identification analysis data corresponding to the authority level is called and sent to the visiting user; and if not, calling the public identifier analysis data and sending the public identifier analysis data to the visiting user. According to the data authority management method based on identification analysis, the data sharing security under an identification analysis system is effectively guaranteed.

Description

technical field [0001] The invention relates to a data rights management method based on identification resolution. Background technique [0002] "Data resourceization" is the primary trend in the development of big data. Data will continue to become an asset of an organization and a powerful weapon to enhance the competitiveness of organizations and companies. Long-term business practices in various fields have accumulated large-scale field data, and with the continuous advancement of the informatization process, the frequency of data generation is increasing to form dynamic large data sets. These data can be divided into four categories according to their attributes or characteristics: device data, business system data, knowledge base data, and user personal data. Data can be divided into three types: general data, important data and sensitive data according to the degree of data sensitivity. Data involves all aspects of data collection, transmission, storage, and proces...

AI Technical Summary

Problems solved by technology

The resulting security risks mainly include data leakage, unauthorized analysis, leakage of user personal information, etc.

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