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A Relative Differential Privacy Preservation Method Across Dikw Modalities for Essential Computing

A privacy-preserving and relative differential technology, applied in the field of data processing, it can solve problems such as leakage of private resources, and achieve the effect of protecting user privacy and increasing computational cost and difficulty.

Active Publication Date: 2022-03-04
HAINAN UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] The purpose of the present invention is to provide a method for relative differential privacy protection across DIKW modalities oriented to essential computing, so as to overcome or at least partially solve the problem of privacy resource leakage that may be caused when publishing user-related resources in the prior art

Method used

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  • A Relative Differential Privacy Preservation Method Across Dikw Modalities for Essential Computing
  • A Relative Differential Privacy Preservation Method Across Dikw Modalities for Essential Computing
  • A Relative Differential Privacy Preservation Method Across Dikw Modalities for Essential Computing

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Embodiment Construction

[0040] The principles and features of the present invention will be described below in conjunction with the accompanying drawings, and the enumerated embodiments are only used to explain the present invention, and are not intended to limit the scope of the present invention.

[0041] refer to figure 1 , the present invention provides a method for relative differential privacy protection across DIKW modalities oriented to essential computing, and the method specifically includes the following steps:

[0042] S1. Obtain the target individual object to be released, and model the target individual object based on the DIKW atlas.

[0043] Wherein, the target individual object may be a user of a social network or other network platforms, and the publishing may specifically be publishing relevant content of the user through channels such as the Internet.

[0044] S2. Analyze whether the target individual object contains type resources that can be used to perform essential calculatio...

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PUM

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Abstract

The present invention provides a method for relative differential privacy protection across DIKW modalities oriented to essential computing, comprising the following steps: S1, acquiring the target individual object to be released, and modeling the target individual object based on the DIKW atlas; S2, analyzing the target individual Whether the object contains the type resource that can be used for essential calculation or differential calculation to obtain the privacy resource of the target individual object, if not included, the target individual object is released, and if it is included, the next step is performed. The type resources include data resources, information resources and One or more of the knowledge resources; S3. Execute the privacy protection policy on the types of resources included in the target individual object; S4. Publish the target individual object whose privacy protection policy has been executed. The present invention can increase the calculation cost and difficulty that an attacker needs to pay to obtain private resources based on type resources, thereby effectively protecting user privacy.

Description

technical field [0001] The invention relates to the technical field of data processing, in particular to a method for protecting relative differential privacy across DIKW modes for essential computing. Background technique [0002] With the widespread popularization of the Internet and the advent of the era of big data, various resources with great commercial value and social value have been produced, and people can benefit greatly from these resources. Efforts need to be made to handle the corresponding content for various purposes, including sharing content resources and corresponding privacy protection. At the same time, there may be a lot of sensitive content in these resources, including important personal privacy data and information, for example, patient health data collected by major hospitals, user location information collected by using GPS protocol applications, etc., these Sensitive resources themselves and the new sensitive resources formed after the correlatio...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F21/62
CPCG06F21/62
Inventor 段玉聪胡时京
Owner HAINAN UNIV