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Anonymous privacy protection method for multi-sensitive attribute data release

A sensitive attribute and privacy protection technology, applied in digital data protection, electronic digital data processing, instruments, etc., can solve the problem of inability to take into account the correlation between attributes and data availability, the data table cannot resist the attack model, and the data cannot be better balanced Usability and the robustness of privacy protection, etc., to achieve the effect of reducing the generalization rate, ensuring the strength of privacy protection, and reducing information loss

Active Publication Date: 2020-01-07
HARBIN ENG UNIV
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  • Summary
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  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0006] For multi-sensitive attribute data tables with correlation, the existing privacy protection model cannot take into account the correlation between attributes and the availability of data while realizing the protection of multi-sensitive attribute data, and the final published data table cannot resist all attacks model, existing methods cannot better balance the availability of data and the robustness of privacy protection

Method used

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  • Anonymous privacy protection method for multi-sensitive attribute data release
  • Anonymous privacy protection method for multi-sensitive attribute data release
  • Anonymous privacy protection method for multi-sensitive attribute data release

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Embodiment Construction

[0059] The technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some of the embodiments of the present invention, not all of them. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0060] An anonymous privacy protection method for multi-sensitive attribute data publishing, the anonymous privacy protection method comprises the following steps:

[0061] Step 1: Calculate the correlation between attributes in the original data table, and define attribute categories;

[0062] Step 2: Group all attributes according to the correlation between attributes;

[0063] Step 3: Sort each group from high to low according to the correlatio...

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Abstract

The invention discloses an anonymous privacy protection method for multi-sensitive attribute data release. The method comprises the steps of 1, calculating correlation among attributes in an originaldata table, and defining attribute categories; 2, grouping all the attributes according to the correlation among the attributes; 3, sorting the groups from high to low according to the correlation among the attributes; 4, calculating the occurrence frequency of the sensitive attribute values in each group, and judging whether the attribute values need to be protected or not; 5, exchanging the sensitive attribute value needing to be protected and the associated attribute thereof with the sensitive attribute value needing not to be protected; 6, performing frequent item set mining on the relatedattributes; and step 7, generating an anonymous equivalent group by using a clustering technology, wherein each sensitive attribute in the anonymous equivalent group satisfies L diversity. By reducing the anonymity rate and jointly replacing the associated attributes, the availability of the data is improved while the privacy protection strength is ensured.

Description

technical field [0001] The invention belongs to the technical field of multi-sensitive attribute data; in particular, it relates to an anonymous privacy protection method for publishing multi-sensitive attribute data. Background technique [0002] In recent years, with the rapid development of the Internet, the dependence on information sharing in various fields has generally increased. Data collectors can often find more valuable potential information by mining shared data. However, there is a privacy leak in the process of information sharing. Risk, since the original data contains a lot of sensitive information, such as home address, medical information, work status, etc., if the data owner directly releases the original data, it will lead to the leakage of personal privacy. Therefore, privacy protection for the original data is required Post after processing. [0003] With the rapid increase of the amount of data, the structure of the data table has become more complica...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F21/62
CPCG06F21/6254
Inventor 韩启龙梅华峥张海涛张可佳马志强李丽洁徐悦竹
Owner HARBIN ENG UNIV
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