A filter-based privacy protection strength evaluation method for personal identity
A technology for privacy protection and evaluation algorithms, applied in image enhancement, data processing applications, instruments, etc., can solve the problems of lack of unified evaluation of social network privacy protection methods
Inactive Publication Date: 2019-03-22
深圳竹云科技股份有限公司
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[0002] With the widespread popularity of social network platforms, the privacy leakage caused by users sharing personal information has become the focus of attention, and the noise-added social network privacy protection methods lack a unified evaluation
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[0019] In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.
[0020] The steps of the filter-based personal identity privacy protection intensity assessment method are: 1) establishing an identity privacy protection intensity assessment model, and 2) establishing an algorithm; the identity privacy protection intensity assessment model includes an original image, a neighboring image and a denoising image; The adjacent graph is the graph after privacy protection. Different Gaussian noises are added for privacy protection according to different requirements; the denoising graph is obtained by filtering the adjacent graph, and different privacy protection strength...
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The invention relates to a personal identity privacy protection intensity evaluation method based on filtering. The steps of the personal identity privacy protection intensity evaluation method basedon filtering are as follows: 1) establishing an identity privacy protection intensity evaluation model; 2) establishing an algorithm; The identity privacy preservation strength evaluation model comprises an original image, a proximity image and a denoising image. Adding Different Gaussian noises into different requirements of the proximity graph after privacy preservation for privacy preservation;acquiring The denoising image by filtering the neighboring image, and proposing different privacy preservation strength evaluation algorithms according to different requirements. The invention drawslessons from Wiener filter capable of automatically suppressing noise in signal processing, can filter part of noise in neighboring graph, achieves the purpose of privacy protection intensity evaluation, and also provides guidance for theoretical research of personal identity privacy protection.
Description
technical field [0001] The invention relates to a method for evaluating the strength of personal identity privacy protection, more specifically, to a method for evaluating the strength of personal identity privacy protection based on filtering. Background technique [0002] With the widespread popularity of social network platforms, the privacy leakage caused by users sharing personal information has become the focus of attention, and the noise-added social network privacy protection methods lack a unified evaluation. [0003] The present invention abstracts the social network into an undirected and weightless graph G(N, E), where N represents the set of all nodes in the network, and E represents the set of all edges in the network. [0004] A graph (or network) consists of some vertices and the edges connecting them. The number of all edges connected to each vertex is the degree of this vertex, that is, the number of adjacent edges of this node. The average degree of the ...
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IPC IPC(8): G06Q10/06G06Q50/00G06T5/00
CPCG06Q10/06393G06Q50/01G06T5/70
Inventor 赵静谧陶雯
Owner 深圳竹云科技股份有限公司