Steganography detection method for audio subjected to MP3Stego steganography

Abstract

The invention discloses a steganography detection method for audio subjected to MP3Stego steganography. The method includes the steps of forming a sample library through MP3 compressed audio not subjected to steganography and MP3 compressed audio subjected to steganography, conducting double-compression coding on each sample to obtain carrier estimation of each sample, extracting a quantized MDCT coefficient of each frame in each sample to obtain a first coefficient matrix corresponding to the sample, extracting a quantized MDCT coefficient of each frame in the carrier estimation of each sample to obtain a second coefficient matrix corresponding to the carrier estimation, calculating a Hausdorff distance value between corresponding lines in each first coefficient matrix and the corresponding coefficient matrix to obtain the final steganography analysis characteristic line vector of each sample, obtaining a training template through SVM classifier training, and detecting the MP3 compressed audio to be detected through the training template. The method has the advantages that whether the MP3 compressed audio is subjected to MP3Stego steganography or not can be quite accurately determined, and particularly, the quite high detection efficiency can still be obtained under the condition that the steganography information embedment rate is low.

Description

technical field [0001] The invention relates to a steganographic detection method, in particular to a steganographic detection method for steganographic audio of MP3Stego. Background technique [0002] Steganography is a technology that combines the characteristics of publicly disseminated multimedia files and hides the secret information to be transmitted into multimedia files through steganographic algorithms. The steganographic multimedia file has good imperceptibility, and it is generally difficult to detect the hidden information it carries during the transmission process. Only a specific group of people designated by the steganographic person can extract the hidden information from the steganographic multimedia file. Confidential information. In order to prevent criminals from using steganography to endanger public security, it is necessary to use steganography detection technology to detect publicly disseminated multimedia files to determine whether the publicly diss...

AI Technical Summary

Problems solved by technology

There are many detection algorithms for MP3Stego steganographic audio, but most detection algorithms for MP3Stego steganographic audio directly extract the encoding block length or other encoding parameters of each frame in the audio as the embedded point of hidden information, through Analyze the change characteristics of these encoding parameters to detect whether the audio has been steganographiced by MP3Stego. However, due to the diversity of audio style changes, it will affect the length of the encoding block or the change of other encoding parameters, which will interfere with the steganography detection work and ultimately affect the detection. Accuracy

In recent years, there have been some operations such as denoising to eliminate steganographic traces on the audio to be detected, so as to obtain an estimate of the original audio, and then subtract the estimated audio from the audio to be detected to eliminate the influence of the style change of the audio itself and improve However, the estimation operation of these methods on the original audio cannot eliminate steganographic traces very well, so the estimation of the original audio obtained is not accurate enough, resulting in an unsatisfactory detection effect when the audio is embedded with less hidden information.

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