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A Device Fingerprint Extraction Method Based on Microphone Nonlinear Characteristics

A device fingerprint and extraction method technology, applied in the Internet field, can solve problems such as account theft, achieve the effect of low hardware requirements and a wide range of applications

Active Publication Date: 2020-12-08
ZHEJIANG UNIV
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  • Abstract
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  • Claims
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AI Technical Summary

Problems solved by technology

For the same device A, if the applications installed on the hardware can capture the same hardware fingerprint, these applications can be considered as sharing the same user; in addition, if it can be determined that the account has been logged in for a long time on device A, then it can also be assumed that the account When logging in on device B, there is a high possibility that account theft has occurred

Method used

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  • A Device Fingerprint Extraction Method Based on Microphone Nonlinear Characteristics
  • A Device Fingerprint Extraction Method Based on Microphone Nonlinear Characteristics
  • A Device Fingerprint Extraction Method Based on Microphone Nonlinear Characteristics

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Embodiment Construction

[0034] The present invention will be further described below in conjunction with the accompanying drawings.

[0035] The device fingerprint extraction method based on the nonlinear characteristics of the microphone comprises the following steps:

[0036] Step 1: The hardware fingerprint extraction party sends an audio signal, and the microphone of the authenticated device records the audio signal. The nonlinear characteristic of the microphone means that for a specified input signal, the output signal S of the microphone OUT with the audio signal S IN is a nonlinear relationship, as shown in formula (1):

[0037]

[0038] Among them, V=[a 1 ,a 2 ,...,a i ] is a set of constant vectors. According to formula (1), it can be found that frequency components not included in the original input signal will be generated in the output signal, and this part of frequency components will distort the signal and affect the audio recording effect. In order to alleviate this problem,...

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Abstract

The invention discloses an equipment fingerprint extraction method based on microphone non-linear characteristics. The equipment fingerprint extraction method comprises the following steps: 1) sendinga non-linear characteristic excitation audio signal; 2) extracting a microphone output signal; and 3) carrying out equipment fingerprint extraction on the non-linear characteristics of the output signal. By analyzing the hardware structure and the nonlinear characteristic of the microphone, the frequency domain response of the output signal is analyzed, and the hardware fingerprint of the microphone is extracted. The invention provides a novel hardware fingerprint extraction method which can be used for identifying and authenticating hardware equipment embedded with multiple microphones.

Description

technical field [0001] The invention belongs to the field of the Internet, and in particular relates to a device fingerprint extraction method based on the nonlinear characteristics of a microphone. Background technique [0002] With the further popularization of mobile devices, such as smart phones, tablet computers, smart watches, etc., applications relying on mobile devices, including mobile payment and online shopping, emerge in an endless stream. Therefore, realizing cross-platform tracking of users to fully understand users' shopping habits, targeting specific users with advertisements, and identifying users has become a crucial requirement for Internet application companies. In addition, in today's booming Internet age, in order to prevent criminals from causing losses to users by stealing user accounts and logging in to third-party devices, it provides a good solution to calibrate users from the hardware level. [0003] Therefore, the present invention proposes a de...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): H04L29/06G10L25/03
Inventor 徐文渊冀晓宇周歆妍邓江毅
Owner ZHEJIANG UNIV
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