Data grading and classifying system and method based on data security and privacy protection

Abstract

The invention provides a data grading and classifying system and method based on data security and privacy protection. The system comprises a data receiving subsystem, a data identification subsystem, a data screening subsystem, a data classification subsystem and a data grading subsystem. The data receiving subsystem receives data to be processed through the APR interface end; the data identification subsystem identifies industry attributes of the to-be-processed data; the data screening subsystem screens industry to-be-processed data from the to-be-identified data; the data classification subsystem is used for classifying the industry data to be processed; and the data grading subsystem performs data grading on the industry to-be-processed data based on the classification result. The method comprises a data receiving step, a data identification step, a data screening step, a data classification step and a data grading step. According to the method, data value evaluation and data grading classification can be realized under the condition of protecting data privacy, and the identified data can be subjected to industry refinement.

Description

technical field [0001] The invention belongs to the technical field of data classification and classification, and in particular relates to a data classification and classification system and method based on data security and privacy protection, as well as a computer program instruction medium and an electronic device for realizing the method. Background technique [0002] High-value data obviously requires stricter protection mechanisms. Without real-time data classification and governance, organizations can underestimate or overestimate the value of data sets, resulting in inaccurate risk assessments. Mismanagement can lead to security risks and even critical data breaches. However, applying the highest level of protection to all data will undoubtedly cause huge waste and unbearable high costs. Data classification and classification can guide the security team to properly and effectively protect important data assets, all of which are based on the realization of correc...

AI Technical Summary

Problems solved by technology

[0006] However, the inventors found that the existing data classification and classification are deficient in terms of security and privacy protection; at the same time, the existing data classification and classification methods do not distinguish between real-time data and stock data, which will lead to additional data identification costs; in addition , the existing technology is based on the general model to perform data classification or classification, but cannot perform personalized classification according to the user's active requirements, cannot meet the user's specific classification requirements, the classification cannot be further refined, and the data value cannot be mined to the greatest extent

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