Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

De-anonymization method and device, electronic equipment and storage medium

An anonymization and anonymous network technology, applied in the fields of electronic digital data processing, special data processing applications, instruments, etc., can solve the problems of structural feature bias, inaccurate and stable de-anonymization results, etc., to improve accuracy and reliability. sexual effect

Pending Publication Date: 2022-04-12
AGRICULTURAL BANK OF CHINA
View PDF0 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] At present, the existing deanonymization methods mainly construct the similarity between nodes based on the structural characteristics of nodes in the social network. The main difference between different deanonymization methods lies in the construction of the similarity algorithm, that is, the However, different deanonymization methods will contain different structural features, or have some bias towards certain structural features
Therefore, in social networks with large differences in structural characteristics, the deanonymization results of existing deanonymization methods are not accurate and stable enough

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • De-anonymization method and device, electronic equipment and storage medium
  • De-anonymization method and device, electronic equipment and storage medium
  • De-anonymization method and device, electronic equipment and storage medium

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0030] figure 1 It is a schematic flow chart of a deanonymization method provided by Embodiment 1 of the present invention. This method is applicable to the case of deanonymizing an anonymous network. The method can be performed by a deanonymization device, wherein the device can be controlled by software and / or implemented by hardware, and generally integrated on an electronic device. In this embodiment, the electronic device includes but is not limited to: desktop computers, notebook computers, servers and other devices.

[0031] Such as figure 1 As shown, a deanonymization method provided by Embodiment 1 of the present invention includes the following steps:

[0032] S110. Obtain the target weight values ​​corresponding to the first number of similarity algorithms through the ranking model, and one similarity algorithm corresponds to one target weight value.

[0033] In this embodiment, the sorting model may refer to a model constructed based on the ListNet algorithm, an...

Embodiment 2

[0075] image 3 It is a schematic structural diagram of a deanonymization device provided in Embodiment 2 of the present invention, and the device may be implemented by software and / or hardware. Such as image 3 As shown, the device includes: a weight value determination module 310 and a deanonymization module 320;

[0076] Wherein, the weight value determining module 310 is used to obtain the target weight value corresponding to the first number of similarity algorithms through the sorting model, and one similarity algorithm corresponds to one target weight value;

[0077] The deanonymization module 320 is configured to deanonymize the anonymous network according to each of the similarity algorithms and the target weight values ​​corresponding to each of the similarity algorithms.

[0078] In this embodiment, the device obtains the target weight values ​​corresponding to the first number of similarity algorithms through the sorting model, and one similarity algorithm corres...

Embodiment 3

[0100] Figure 4 It is a schematic structural diagram of an electronic device provided by Embodiment 3 of the present invention. Such as Figure 4 As shown, the electronic device provided by Embodiment 3 of the present invention includes: a storage device 42 and one or more processors 41; the processor 41 in the electronic device may be one or more, Figure 4 Take a processor 41 as an example; the storage device 42 is used to store one or more programs; the one or more programs are executed by the one or more processors 41, so that the one or more processors 41 Implement the deanonymization method described in any one of the embodiments of the present invention.

[0101] The electronic device may further include: a communication device 43 , an input device 44 and an output device 45 .

[0102] The processor 41, the storage device 42, the communication device 43, the input device 44 and the output device 45 in the electronic equipment can be connected by bus or other methods...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The embodiment of the invention discloses a deanonymization method and device, electronic equipment and a storage medium. The method comprises the steps that target weight values corresponding to a first number of similarity algorithms are obtained through a sorting model, and one similarity algorithm corresponds to one target weight value; and deanonymizing the anonymous network according to each similarity algorithm and the target weight value corresponding to each similarity algorithm. According to the method, the target weight values corresponding to the multiple similarity algorithms are obtained through the sorting model, deanonymization is carried out on the anonymous network according to the similarity algorithms and the corresponding target weight values on the basis, and the accuracy and reliability of deanonymization are effectively improved.

Description

technical field [0001] Embodiments of the present invention relate to the technical field of data mining, and in particular, to a deanonymization method, device, electronic equipment, and storage medium. Background technique [0002] In recent years, with the deep integration of social network platforms and people's daily life, more and more people register as users on multiple social network platforms. Different social networking platforms contain different information about a user. If multiple social network platforms can be integrated, more comprehensive information on a person can be obtained, and the government can conduct better privacy monitoring based on the information in the social network platforms, thereby promoting the active application of social network data. In order to obtain the information of the users on the social network platform, it is necessary to de-anonymize the anonymous users on the social network platform. [0003] At present, the existing dean...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
Patent Type & Authority Applications(China)
IPC IPC(8): G06F16/2458
Inventor 高阳
Owner AGRICULTURAL BANK OF CHINA
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products