Personal digital spatial data desensitization method based on text generative adversarial network

Abstract

The invention provides a personal digital space data desensitization method based on a text generative adversarial network, and the method comprises the following steps: S1, obtaining a data file to be desensitized in a personal digital space, and constructing a text generative adversarial network model; S2, analyzing the data file to be desensitized to obtain an analysis file containing sensitive information; S3, inputting the analyzed file as source data into a text generative adversarial network model for training; S4, judging whether the trained text generative adversarial network model converges, and if yes, obtaining desensitized text data with the same statistical characteristics as the source data; and otherwise, returning to the step S3. The invention provides a personal digital spatial data desensitization method based on a text generative adversarial network. The problem that the structural format of medical source data is changed when an existing data desensitization technology is applied in a medical scene is solved.

Description

technical field [0001] The present invention relates to the technical field of data desensitization processing, and more specifically, relates to a method for desensitizing personal digital space data based on text generation confrontation network. Background technique [0002] Data desensitization technology is a data processing technology that can reduce and remove data sensitivity by processing data. The use of data desensitization technology can reduce the risk and harm of data leakage and effectively protect the privacy of user data. In the field of Internet + medical care, users can store, view and share personal medical and health data through personal digital space, but personal medical data will face the risk of leaking sensitive medical information of users in the process of online medical treatment, online purchase of medicines, outpatient appointments, etc. In the medical industry, user data has extremely high authenticity and sensitivity. Once the user's person...

AI Technical Summary

Problems solved by technology

However, the existing data desensitization technology will change the structural format of medical source data when it is applied in medical scenarios, and cannot meet the needs of users in medical scenarios for desensitization and protection of medical sensitive information

[0004] In the prior art, such as the Chinese patent disclosed on August 16, 2019, a data desensitization method, device, equipment and computer-readable storage medium, the publication number is CN110135193A, which maximizes the degree of data desensitization and ensures privacy information While not being leaked, it effectively improves the practicability of the desensitized data, but does not evaluate the complete sequence, which will change the structured format of the source data

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