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Universal steganalysis method and system of audio based on spectrograms and deep residual network

A technology of steganalysis and spectrogram, which is applied in speech analysis, instruments, etc., can solve the problems of limited detection level of steganalysis features, difficulty in guaranteeing detection effect, difficulty in effective implementation of time efficiency and computational complexity, and achieves High versatility, good detection performance, and effective steganalysis features

Inactive Publication Date: 2019-08-13
WUHAN UNIV
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Problems solved by technology

This kind of steganalysis feature detection level designed and constructed through expert experience is limited, and it is difficult to guarantee the detection effect when facing unknown steganographic algorithms in the same embedding domain
At the same time, this kind of detection method with small granularity and narrow feature coverage is very effective for the detection of a small number of samples, but in the face of massive detection sample space, complete fine-grained detection is difficult to obtain in terms of time efficiency and computational complexity. Implementation

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  • Universal steganalysis method and system of audio based on spectrograms and deep residual network
  • Universal steganalysis method and system of audio based on spectrograms and deep residual network
  • Universal steganalysis method and system of audio based on spectrograms and deep residual network

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[0028] In order to facilitate those of ordinary skill in the art to understand and implement the present invention, the present invention will be described in further detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the implementation examples described here are only used to illustrate and explain the present invention, and are not intended to limit this invention.

[0029] Related terms in this embodiment are interpreted as:

[0030] 1) Spectrogram: After the audio time domain signal is framed and windowed, the FFT (Fast Fourier Transformation) transformation can reflect the feature matrix of the audio time domain and frequency domain information at the same time.

[0031] 2) MDCT (Modified discrete cosine transform) transform: Improved discrete cosine transform, a reversible transform with time-domain aliasing cancellation characteristics.

[0032] A kind of audio general steganalysis method based on spectrogram and de...

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Abstract

The invention discloses a universal steganalysis method and system of audio based on spectrograms and deep residual network. Targeting at the current situation that existing steganographic algorithmsbased on audio compression standards perform steganography by correcting different audio compression parameters while no universal steganalysis algorithm is present, the method of the invention includes extracting spectrogram features of a recompressed original audio signal by comprehensively considering common MDCT (modified discrete cosine transform) features in AAC (advanced audio coding) and other compression coding standards, mining inherent distribution features of the audio signal via the deep residual network S-ResNet, and extracting classification features to construct a universal audio steganalysis unit. The method and system of the invention have the advantages that the method and system are not limited to a single coding standard and parameter domain and the method and system have good universality and good steganalysis test performance.

Description

technical field [0001] The invention belongs to the technical field of multimedia information content security, and relates to an audio general steganalysis method and system, in particular to an audio general steganography based on a spectrogram and a deep residual network for audio compression coding based on MDCT transformation such as AAC. Write analysis methods and systems. [0002] technical background [0003] With the rapid development of digitization, Internet, and wireless communication technology, digital audio data has become ubiquitous in people's daily life. Various audio communication and service systems have been widely used, such as various music APPs and radio APP applications, including Baidu Music, QQ Music, Kugou Music, Himalaya, Kuting Tingshu, etc. In various video applications, audio, as an indispensable accompanying information carrier, has been widely used, such as various video-on-demand sharing services, including iQiyi, Youku, Tudou, Youtube, etc...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G10L25/03G10L25/27G10L19/018
CPCG10L19/018G10L25/03G10L25/27
Inventor 任延珍柳登凯熊翘楚傅建明王丽娜
Owner WUHAN UNIV
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