A mobile phone individual identification method based on bispectral features and boosting trees

A spectral feature and mobile phone technology, applied in the field of mobile phone individual identification based on bispectral features and boosted trees, can solve problems such as spectrum illegal occupation, network management troubles, information leakage, etc., to reduce the amount of calculation, save time, and enhance security sexual effect

Active Publication Date: 2022-03-25
UNIV OF ELECTRONICS SCI & TECH OF CHINA
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, the disadvantage of this technology is that the current software authentication method is easy to imitate, and this vulnerability is also easy to be exploited by malicious attackers to launch PUE (Primary User Emulation) attacks, resulting in information leakage or long-term illegal use of spectrum. Brings great trouble to network management

Method used

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  • A mobile phone individual identification method based on bispectral features and boosting trees
  • A mobile phone individual identification method based on bispectral features and boosting trees
  • A mobile phone individual identification method based on bispectral features and boosting trees

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Embodiment

[0049] For the convenience of description, the relevant technical terms appearing in the specific implementation manner are explained first:

[0050] AGC (Automatic Gain Control): automatic gain control;

[0051] RIB(radial integral bispectra): radial integral bispectra;

[0052] AIB(axial integral bispectra): axial integral bispectra;

[0053] CIB(circumference integral bispectra): Circumference integral bispectra;

[0054] SIB(square integral bispectra): Rectangular integral bispectra;

[0055] PCA (Principal Component Analysis): principal component analysis;

[0056] figure 1 It is a flow chart of a mobile phone individual identification method based on bispectral features and deep learning of the present invention.

[0057] In this embodiment, as figure 1 As shown, a mobile phone individual identification method based on bispectral features and deep learning of the present invention includes the following steps:

[0058] S1. Sampling of mobile phone individuals to b...

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Abstract

The invention discloses a mobile phone individual identification method based on bispectrum features and a boosted tree. After sampling and preprocessing all samples, four integral bispectrums are calculated to obtain a feature set for training a convolutional neural network. Then divide the feature set into training feature set YTrain and test feature set Ytest in proportion, then use Ytrain to train the boosting tree, and use the fitting residual of the boosting tree as the target of the next round of training, and finally use the trained boosting tree The classification decision is made on the test set YTest, and finally the mobile phone individual recognition result is output.

Description

technical field [0001] The invention belongs to the technical field of communication, and more particularly, relates to a mobile phone individual identification method based on bispectral features and boosting trees. Background technique [0002] The individual identification of the communication radiation source determines the individual radiation source that generates the signal by measuring the characteristics of the received signal, which is defined as "the ability to associate the unique electromagnetic characteristic of the radiation source with the individual radiation source". The individual characteristics of the radiation source are generally due to the slight differences between its internal components (such as the nonlinearity of the device, the instability of the frequency source, and the spurious output, etc.), which is also called the "fingerprint" of the communication signal. , refers to the feature in the communication signal used to identify the identity of...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06K9/00H04W12/06H04W16/14
CPCH04W12/06H04W16/14G06F2218/02G06F2218/08G06F2218/12
Inventor 杨远望王炳程游长江朱学勇
Owner UNIV OF ELECTRONICS SCI & TECH OF CHINA
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