Double spectrum characteristic and deep learning based mobile phone individual identification method

A technology of deep learning and identification method, applied in the field of communication, can solve the problems of information leakage, troublesome network management, illegal occupation of spectrum, etc., to achieve the effect of enhancing security, saving time and realizing flexible configuration

Active Publication Date: 2018-05-01
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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  • Double spectrum characteristic and deep learning based mobile phone individual identification method
  • Double spectrum characteristic and deep learning based mobile phone individual identification method
  • Double spectrum characteristic and deep learning based mobile phone individual identification method

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Embodiment

[0057] For the convenience of description, the relevant technical terms appearing in the specific implementation are explained first:

[0058] AGC (Automatic Gain Control): automatic gain control;

[0059] RIB (radial integral bispectra): radial integral bispectra;

[0060] AIB(axial integral bispectra): axial integral bispectra;

[0061] CIB (circumference integral bispectra): circular integral bispectra;

[0062] SIB(square integral bispectra): rectangular integral bispectra;

[0063] PCA (Principal Component Analysis): principal component analysis;

[0064] CNN(Convolution Neural Network): convolutional neural network;

[0065] BN (batch normalization): batch normalization;

[0066] early stopping: early termination;

[0067] validation data: validation data set;

[0068] overfitting: overfitting.

[0069] figure 1 It is a flowchart of a mobile phone individual identification method based on bispectrum features and deep learning in the present invention.

[0070] ...

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Abstract

The invention discloses a double spectrum characteristic and deep learning based mobile phone individual identification method. All samples are sampled and preprocessed, four types of integral double-spectrums are calculated and combined to obtain a characteristic set of a training convolutional neural network, and the characteristic set is divided into a training characteristic set YTrain and a test characteristic set Ytest; and the training characteristic set YTrain is used to train the convolutional neural network, the trained convolutional neural network is used to carry out classified decision on the test characteristic set YTest, and a mobile phone individual identification result is output.

Description

technical field [0001] The invention belongs to the field of communication technology, and more specifically relates to a mobile phone individual identification method based on bispectrum features and deep learning. Background technique [0002] Individual communication radiation source identification is to determine 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 characteristics 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. This feature is also called the "fingerprint" of the communication signal. Refers to the feature in a communication signal used to identify the identity of the commu...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H04W12/06G06N3/08G06N3/04G06K9/62G06K9/00
CPCH04W12/06G06N3/08G06N3/045G06F2218/18G06F2218/02G06F2218/08G06F18/214
Inventor 杨远望王炳程丁敏朱学勇李梦娜游长江
Owner UNIV OF ELECTRONICS SCI & TECH OF CHINA
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