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Method for channel feature elimination and radio frequency fingerprint extraction suitable for zigbee devices

A technology of channel characteristics and radio frequency fingerprints, applied in the field of information security, can solve problems such as encryption authentication methods not applicable to identity authentication, and achieve the effect of improving channel robustness

Active Publication Date: 2021-10-12
JIANGSU ELECTRIC POWER INFORMATION TECH +1
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

ZigBee devices are widely used in IoT systems. Due to their low power consumption and battery power requirements, traditional encryption authentication methods are not suitable for their identity authentication.

Method used

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  • Method for channel feature elimination and radio frequency fingerprint extraction suitable for zigbee devices
  • Method for channel feature elimination and radio frequency fingerprint extraction suitable for zigbee devices
  • Method for channel feature elimination and radio frequency fingerprint extraction suitable for zigbee devices

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Experimental program
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Embodiment Construction

[0036] A method for channel feature elimination and radio frequency fingerprint extraction applicable to ZigBee equipment, such as figure 1 shown, including the following steps:

[0037] (1) Receive the signal sent by the target transmitter, and down-convert the received signal to obtain the baseband signal;

[0038] (2) Preprocessing the baseband signal to extract a preamble signal and an SFD, wherein the preamble signal includes 8 preamble symbols (0x00), and the SFD includes two symbols (0x07 and 0x0A);

[0039] Wherein, the preprocessing includes: rough frequency estimation, fine frequency estimation, frequency compensation, time synchronization, phase synchronization and amplitude normalization performed in sequence. The leading signal finally extracted is specifically:

[0040] y(n)=[y 1 (n),y 2 (n),...,y 8 (n)]

[0041] In the formula, y(n) is the extracted leading signal, y i (n) is the ith preamble symbol in the preamble signal.

[0042] The extracted second S...

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Abstract

The invention discloses a method for channel feature elimination and radio frequency fingerprint extraction suitable for ZigBee equipment, comprising: receiving a signal sent by a ZigBee transmitter to be identified, and down-converting the received signal to obtain a baseband signal; pre-processing the baseband signal Processing, extracting the preamble signal and frame delimiter SFD in each frame ZigBee signal; Carry out FFT transformation to each preamble symbol, obtain the frequency domain signal of each preamble symbol; The frequency domain of the 1-8 preamble symbol The signal is divided by the frequency domain signal of the second SFD symbol to obtain 8 symbol spectrum quotients to complete channel feature elimination; the 8 symbol spectrum quotients are used as ZigBee RF fingerprints for device identity authentication. The invention can eliminate the influence of the channel feature on the radio frequency fingerprint and improve the robustness.

Description

technical field [0001] The invention relates to the field of information security, in particular to a method for channel feature elimination and radio frequency fingerprint extraction suitable for ZigBee equipment. Background technique [0002] It means that the power difference of the internal hardware components of the device will cause slight distortion of the transmitted signal. This distortion is as unique and unclonable as a human fingerprint. Therefore, this feature is also called the radio frequency fingerprint feature of the device, so it can be used for identification and authentication of electromagnetic radiation sources. Specifically, the device identification technology based on physical fingerprint features can accurately distinguish wireless devices that use the same frequency, bandwidth, and modulation method, and has very good practical value. Therefore, the authentication system based on the physical fingerprint feature can authenticate the accessing own...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): H04W4/80H04W8/22H04W12/06H04W12/71H04L27/26H04L25/03
CPCH04L25/03159H04L27/2613H04L27/265H04W8/22H04W12/06H04W4/80H04W12/79
Inventor 程伟华徐超承轶青吴小虎
Owner JIANGSU ELECTRIC POWER INFORMATION TECH