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Sensitive data completion method based on matrix completion technology

A technology for sensitive data and matrix completion, which is applied in the field of sensitive data completion based on matrix completion technology, and can solve problems such as inability to obtain original data, decision errors, and impact of data analysis.

Pending Publication Date: 2021-03-26
ARMY ENG UNIV OF PLA
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

When the data is desensitized, the relevant units cannot obtain the original data, which will have a significant impact on data analysis and decision-making based on data, and even lead to decision-making errors

Method used

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  • Sensitive data completion method based on matrix completion technology
  • Sensitive data completion method based on matrix completion technology
  • Sensitive data completion method based on matrix completion technology

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Embodiment Construction

[0065]In order to solve the problem of data completion after desensitization of sensitive data, the invention proposes a sensitive data completion method technology based on matrix completion technology. This method also integrates matrix decomposition ideas, matrix completion and other functions. We use this method in the key link of missing sensitive data completion, which can assist manual completion of sensitive data. By adopting the above method, the missing part of the sensitive data is completed. Compared with the traditional data completion method, the present invention provides a new idea for the missing completion of sensitive data, which provides a basis for the improvement of the sensitive data completion method. The new method greatly improves the accuracy, usability and completeness of sensitive data completion, and provides a new idea for the missing completion of sensitive data.

[0066] The invention completes missing sensitive data, improves the integrity and...

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Abstract

The invention discloses a sensitive data completion method based on a matrix completion technology. The sensitive data completion method comprises the following steps: acquiring missing text data of sensitive data; extracting text features from the data lacking the sensitive data, and assuming that a matrix exists in the extracted text features; if the matrix is complete, decomposing the matrix; and if the matrix contains the missing value of the sensitive data, randomly initializing the decomposed matrix, calculating a loss error with the matrix containing the missing value, and when the losserror is minimum, performing solving by adopting an approximate gradient descent method so as to complement the missing sensitive data in the matrix. Through the matrix completion technology, missingsensitive data in the matrix can be effectively completed, and the effectiveness and authenticity of the completed data are improved. The real-time performance is high, and the accuracy of sensitivedata completion is improved.

Description

technical field [0001] The invention relates to the technical field of sensitive data completion, in particular to a sensitive data completion method based on matrix completion technology. Background technique [0002] Since the beginning of the 21st century, with the continuous development of 5G technology and Internet technology, data security issues have become more and more serious. Therefore, desensitization of sensitive data has attracted more and more attention from many units. When the data is desensitized, the relevant units cannot obtain the original data, which will have a major impact on data analysis and decision-making based on data, and even lead to decision-making errors. [0003] Data desensitization is also known as data deprivacy and data deformation. It refers to formulating desensitization strategies and tasks according to relevant requirements under the condition of retaining the original characteristics of data, and transforming and modifying sensitive...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F21/62G06F17/16
CPCG06F21/6245G06F17/16
Inventor 潘志松张磊刘鑫黎维邹军华陶蔚潘雨段晔鑫饶瑞
Owner ARMY ENG UNIV OF PLA
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