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CLC number: TN918

On-line Access: 2024-08-27

Received: 2023-10-17

Revision Accepted: 2024-05-08

Crosschecked: 2012-07-06

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Journal of Zhejiang University SCIENCE C 2012 Vol.13 No.8 P.624-634

http://doi.org/10.1631/jzus.C1100374


Detection of quantization index modulation steganography in G.723.1 bit stream based on quantization index sequence analysis


Author(s):  Song-bin Li, Huai-zhou Tao, Yong-feng Huang

Affiliation(s):  Department of Electronic Engineering, Tsinghua University, Beijing 100084, China; more

Corresponding email(s):   lisb@mail.tsinghua.edu.cn, yfhuang@mail.tsinghua.edu.cn

Key Words:  Steganalysis, Quantization index modulation (QIM), G.723.1, Codeword distribution characteristics


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Song-bin Li, Huai-zhou Tao, Yong-feng Huang. Detection of quantization index modulation steganography in G.723.1 bit stream based on quantization index sequence analysis[J]. Journal of Zhejiang University Science C, 2012, 13(8): 624-634.

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Abstract: 
This paper presents a method to detect the quantization index modulation (QIM) steganography in g.723.1 bit stream. We show that the distribution of each quantization index (codeword) in the quantization index sequence has unbalanced and correlated characteristics. We present the designs of statistical models to extract the quantitative feature vectors of these characteristics. Combining the extracted vectors with the support vector machine, we build the classifier for detecting the QIM steganography in g.723.1 bit stream. The experiment shows that the method has far better performance than the existing blind detection method which extracts the feature vector in an uncompressed domain. The recall and precision of our method are all more than 90% even for a compressed bit stream duration as low as 3.6 s.

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