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Steganalysis method for audio spread-spectrum steganography

A steganalysis and steganography technology, which is applied in the field of steganalysis for audio spread spectrum steganography, can solve problems such as unsatisfactory accuracy

Inactive Publication Date: 2011-05-18
WUHAN UNIV
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AI Technical Summary

Problems solved by technology

Harmsen (see literature 6) established a general additive noise steganalysis model, but only using the centroid of the histogram feature function to judge whether there is secret data, the accuracy rate is not ideal

Method used

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  • Steganalysis method for audio spread-spectrum steganography
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  • Steganalysis method for audio spread-spectrum steganography

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Experimental program
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Embodiment Construction

[0041] The present invention will be further described below with specific embodiments in combination with the drawings:

[0042] The main idea of ​​the steganalysis method for audio frequency spread spectrum steganography provided by the present invention is: the main idea is that after repeated steganography, the signal distortion caused by the first embedding is the largest, and then it is reduced accordingly. The statistical distortion distance between two adjacent signals will become smaller and smaller. Investigate the noise distribution of wavelet subbands in the wavelet domain, then select an appropriate probability model to model it, calculate the effective distance measurement as the characteristic value, and finally use the support vector machine to construct the steganalysis algorithm.

[0043] The implementation of the algorithm adopts the idea of ​​pattern recognition. In the training stage: first extract feature values ​​from clean samples and their corresponding ste...

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Abstract

The invention relates to the technical field of information hiding detection, particularly a steganalysis method for audio spread-spectrum steganography. The method provided by the invention mainly aims at the statistic difference of signals caused by repeated embedding, and comprises the following steps: introducing a Gaussian hybrid model into a wavelet domain to establish a model for a wavelet sub-band coefficient, and calculating a signal and a first steganographic signal, wherein the statistic distance between the first steganographic signal and a second steganographic signal is used as a characteristic value; and finally, constructing a steganalysis algorithm for a categorizer by using a support vector machine. The method provided by the invention has the advantages of stable performance, high detection accuracy, low false alarm rate, low omission factor and low time complexity, is simple to use, can be applied to the field of hidden information detection, and has an important meaning for preventing illegal hidden communication.

Description

Technical field [0001] The invention relates to the technical field of information hiding detection, in particular to a steganalysis method for audio spread spectrum steganography. Background technique [0002] In audio information hiding, the hiding algorithm based on spread spectrum communication idea has received widespread attention because of its robustness and good immunity to noise. Therefore, effective, accurate and reliable detection of spread spectrum steganography is of great significance for protecting information security and preventing covert communication. [0003] In recent years, steganalysis methods for spread spectrum steganography have also been reported. Fraid (see Reference 1) proposed a detection algorithm based on high-order statistics of wavelet coefficients and support vector machines. The experimental results for EzStego, OoutGuess and Jsteg show the validity of the selected statistics. Based on Fraid's research, McBride (see Reference 2) proposed a de...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G10L19/02G10L19/018
Inventor 胡瑞敏曾伟艾浩军
Owner WUHAN UNIV
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