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Audio fingerprint-based null-right terminal device identification method

An audio fingerprint and terminal device technology, which is applied in the field of zero-authority terminal device identification based on audio fingerprints, can solve the problems of limited features, insufficiently comprehensive values, and low accuracy of device identification.

Active Publication Date: 2018-09-07
杭州默安科技有限公司
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Problems solved by technology

However, in the existing AudioContext fingerprint identification terminal method, the distinction degree of AudioContext fingerprint is not high, the initial input audio waveform is generated by Javascript, which is too simple, and the audio processing only adopts the method of dynamic compression, which reflects limited features. The fingerprint information only obtains data in the frequency domain, the value is not comprehensive enough, and the accuracy of device identification is low

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  • Audio fingerprint-based null-right terminal device identification method
  • Audio fingerprint-based null-right terminal device identification method
  • Audio fingerprint-based null-right terminal device identification method

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Embodiment Construction

[0041] Below, the present invention will be further described in conjunction with the accompanying drawings and specific implementation methods. It should be noted that, under the premise of not conflicting, the various embodiments described below or the technical features can be combined arbitrarily to form new embodiments. .

[0042] A zero-privilege terminal device identification method based on audio fingerprints, such as figure 1 shown, including the following steps:

[0043] S1: Instantiate the audio container object.

[0044] S2: Acquire the initial input audio of the third party; specifically, acquire the initial input audio of the third party, and add the initial input audio to the audio container object; in this step, the initial input audio is a complex audio unit.

[0045] S3: Create analyzer nodes.

[0046] S4: Perform an operation on the audio information; specifically, perform one or more operations in linear convolution operation, dynamic compression operati...

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Abstract

The invention provides an audio fingerprint-based null-right terminal device identification method. The method includes the following steps that: an audio container object is instantiated; a third-party initial input audio is acquired, the initial input audio is added to the audio container object; an analyzer node is created; one or more kinds of operation selected from linear convolution operation, dynamic compression operation, and nonlinear warping operation are performed on audio information in the audio container object; the audio container object is linked to an audio playing node; thefrequency domain data and time domain data of the audio are acquired, and are uploaded to a server side; the audio is eliminated before the audio is played; the server side combines the received frequency domain data and time domain data into an access audio fingerprint; and whether a current device is a revisit device is judged. According to the method of the invention, the fingerprint information of the audio is more comprehensive by means of the frequency domain data and the time domain data.

Description

technical field [0001] The invention relates to the technical field of equipment identification, in particular to an audio fingerprint-based zero-authority terminal equipment identification method. Background technique [0002] In 2016, when researchers at Princeton University conducted an online tracking technology study, they found that some websites used AudioContext (audio) fingerprints to identify terminals. The reason why they could use AudioContext fingerprints to identify terminals was because they were on different machines or browsers When processing audio signals, the processing results are different due to the subtle differences in hardware or software between machines. This processing result is equivalent to the AudioContext fingerprint and can be used as a device identification. However, in the existing AudioContext fingerprint identification terminal method, the distinction degree of AudioContext fingerprint is not high, the initial input audio waveform is gen...

Claims

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Application Information

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IPC IPC(8): G10L25/27G10L19/00
CPCG10L19/00G10L25/27
Inventor 程进魏兴国聂万泉
Owner 杭州默安科技有限公司
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