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
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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...
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Abstract
Description
Claims
Application Information
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