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Multi-domain data privacy protection method for cloud platform

A data privacy and cloud platform technology, applied in the field of multi-domain data privacy protection, can solve problems such as unsatisfactory use of original data, inability to limit the data range of data analysts, and insufficient flexibility, so as to reduce the risk of leakage, reduce the risk of leakage, The effect of protecting data privacy

Active Publication Date: 2019-10-25
HARBIN INST OF TECH
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] In order to solve the existing multi-domain data privacy protection method, the present invention generally uses static anonymity to publish data, which is not flexible enough to limit the range of data obtained by data analysts, and cannot Problems meeting the need to use raw data

Method used

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  • Multi-domain data privacy protection method for cloud platform
  • Multi-domain data privacy protection method for cloud platform

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Embodiment Construction

[0029] In conjunction with the accompanying drawings, the specific implementation process of the cloud platform-oriented multi-domain data privacy protection method described in the present invention is described as follows:

[0030] Data static anonymization process

[0031] The general process of data anonymization is as follows: figure 1 As shown, firstly, the original data set is preprocessed, and then the generalization level is constructed for each QI attribute of the data set, and then the corresponding data structure is constructed according to the existing generalization level and other information, so as to realize the specific K-anonymity principle. Algorithm to select a specific generalization level for each attribute, and according to the obtained generalization level, generalize the data values ​​of the original data set, and convert the original data set into a corresponding anonymous data set.

[0032] In the data processing stage, the U.S. census data of the ...

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Abstract

The invention discloses a multi-domain data privacy protection method for a cloud platform, and relates to the technical field of multi-domain data privacy protection. The method aims to solve the problems that an existing multi-domain data privacy protection method generally adopts static anonymity to publish data, is not flexible enough, cannot limit the data range obtained by data analysts andcannot meet the requirement for using original data. The method comprises the steps of data anonymization treatment and original data recovery treatment. The invention aims at specific requirements indata analysis and transaction processing scenes. Corresponding privacy protection strategies are adopted. For structured data tables in different fields, the effect of reducing the cloud data privacyleakage risk is achieved through a privacy protection technology taking data anonymity as a main body. Meanwhile, certain transaction processing requirements are met. The anonymized data is stored and used for data analysis, so that the risk of privacy information leakage is reduced. The data is dynamically anonymized. The data range which can be obtained by data analysts is limited. Meanwhile, the data privacy is better protected.

Description

technical field [0001] The invention relates to a cloud platform-oriented multi-domain data privacy protection method, and relates to the technical field of multi-domain data privacy protection. Background technique [0002] With the development and widespread use of cloud computing, more user data is collected and stored in the cloud platform, which facilitates the use and sharing of data. Enterprises have brought benefits; however, with the increasing amount of data stored and processed, link attacks that identify user information in the data through external data tables occur from time to time, which exposes user information to the risk of privacy leaks and also poses a threat to enterprises. The benefits and reputation of the company have caused great losses. Therefore, for enterprises and organizations that generate and store large-scale data on the cloud platform, while ensuring normal data use, reducing the possibility of user data privacy leakage is of great importa...

Claims

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Application Information

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IPC IPC(8): G06F21/62
CPCG06F21/6254
Inventor 张伟哲何慧方滨兴刘川意郭睿
Owner HARBIN INST OF TECH
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