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A Device Fingerprint Recognition Method Based on Classified Subwaveform Superposition Signal Noise Reduction

A device fingerprint, superimposed signal technology, applied in information security, smart devices, can solve problems such as not fully meeting the needs of practical applications, and achieve the effect of solving the problem of low signal-to-noise ratio

Active Publication Date: 2022-04-22
如皋忠广电子技术有限公司
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  • Abstract
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Problems solved by technology

Therefore, the existing methods for extracting physical features of equipment cannot fully meet the needs of practical applications.

Method used

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  • A Device Fingerprint Recognition Method Based on Classified Subwaveform Superposition Signal Noise Reduction
  • A Device Fingerprint Recognition Method Based on Classified Subwaveform Superposition Signal Noise Reduction
  • A Device Fingerprint Recognition Method Based on Classified Subwaveform Superposition Signal Noise Reduction

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Embodiment Construction

[0045] The technical solutions of the present invention will be clearly and completely described below in conjunction with the accompanying drawings. Apparently, the described embodiments are some of the embodiments of the present invention, but not all of them. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0046] In the description of the present invention, it should be noted that the orientation or positional relationship indicated by the terms "center", "upper", "lower", "left", "right", "inner" and "outer" are based on the attached The orientation or positional relationship shown in the figure is only for the convenience of describing the present invention and simplifying the description, and does not indicate or imply that the referred device or element must have a specific orientation, be constructed and ope...

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Abstract

The invention discloses a device fingerprint recognition method based on classification sub-waveform superimposition signal noise reduction. The signal noise reduction algorithm based on classification sub-waveform superposition proposed by the invention can perform denoising without destroying the device fingerprint carried in the signal. Noise processing, and then effectively extract device fingerprint features from the noise-reduced signal, so as to achieve accurate device fingerprint identification. The method includes the steps of: after receiving a signal with a low signal-to-noise ratio, detect the peaks and valleys of the signal waveform, and calculate the positions of all peaks and valleys in the signal. Then, according to the arrangement order of the peaks and troughs, the signal is divided into a series of sub-waveforms, each sub-waveform is a signal segment containing a different number of consecutive peaks / troughs. Then the sub-waveforms of the same type are superimposed and denoised. Finally, the denoised new signal composed of all superimposed sub-waveforms is used for device fingerprint feature extraction and device identification. The invention can effectively extract the fingerprint feature of the physical layer of the device under the condition of low signal-to-noise ratio, and effectively solves the problem of low signal-to-noise ratio that the device identification method based on the device fingerprint must face in actual application.

Description

technical field [0001] The invention relates to the fields of intelligent equipment, the Internet of Things, information security, etc., and in particular to a device fingerprint identification method based on classification sub-waveform superposition signal noise reduction. Background technique [0002] When the electromagnetic radiation source emits a signal, it will inevitably introduce the physical characteristics of the device. This feature is mainly caused by the power difference of the hardware components inside the device. Because each electronic component has a unique power differential, the physical characteristics of each device are also unique. This physical feature is like the "fingerprint" of the device, which is unique and difficult to clone, so this feature is also called physical fingerprint feature or radio frequency fingerprint feature. With the in-depth research on device physical fingerprint related technologies, physical fingerprint features are gener...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06K9/00
CPCG06F2218/04G06F2218/08G06F2218/12
Inventor 邢月秀唐晓明
Owner 如皋忠广电子技术有限公司
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