Data de-identification apparatus and method

Abstract

A data de-identification apparatus and method are provided. The data de-identification apparatus stores a data set of a first industry, wherein the data set is defined with a plurality of fields. The data de-identification apparatus receives a first instruction and a second instruction, wherein the first instruction corresponds to a second industry and the second instruction corresponds to a use of data. The data de-identification apparatus determines an identification category for each of the fields according to the first industry, the second industry, and the use of data. The data de-identification apparatus transforms the data set into a transformed data set according to the use of data and then transforms the transformed data set into a de-identification data set according to the identification categories.

Description

technical field [0001] The invention relates to a data de-identification processing device and method. More specifically, the present invention relates to a data de-identification processing device and method based on industrial fields and data uses. Background technique [0002] With the advent of the era of big data, more and more companies will collect various data for analysis, and then make business decisions based on the results of the analysis (for example, banks will decide whether to give Credit Loans). However, the breadth of enterprise-owned data is quite limited, and integrating data across domains to make more accurate decisions and create more value is bound to be a future trend. Since the data analyzed by enterprises often has personal identity (such as: name) or other information that needs to be protected (such as: address, income), when integrating data across fields, it must be de-identified and must comply with different fields. (referred to as complia...

AI Technical Summary

Problems solved by technology

[0003] The known data de-identification processing technology mainly deletes, encrypts or hosts directly identifiable data (such as: name, ID card number) or only displays a part of the data (such as: a certain number of digits in the value), but this This processing method will make it difficult to use the processed data to evaluate specific purposes (for example: to evaluate whether to grant credit loans to users)

These known data de-identification processing technologies do not take into account the need for cross-domain compliance when integrating data across domains, and do not consider the need to achieve the technical effect of data empowerment while complying with regulations, that is, when the data is de-identified After identification processing, it can still be used for evaluation for specific purposes

Images