
FOLLOWUS
1.Department of Electronic Engineering, Tsinghua University, Beijing 100084, China
2.Tsinghua National Laboratory for Information Science and Technology, Beijing 100084, China
[ "Song-bin LI, E-mail:lisb@mail.tsinghua.edu.cn" ]
Yong-feng HUANG, E-mail: yfhuang@mail.tsinghua.edu.cn
收稿:2011-12-19,
修回:2012-;7-;6,
纸质出版:2012-08
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Detection of quantization index modulation steganography in G.723.1 bit stream based on quantization index sequence analysis[J]. 信息与电子工程前沿(英文), 2012,13(8):624-634.
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]. Frontiers of Information Technology & Electronic Engineering, 2012, 13(8): 624-634.
Detection of quantization index modulation steganography in G.723.1 bit stream based on quantization index sequence analysis[J]. 信息与电子工程前沿(英文), 2012,13(8):624-634. DOI: 10.1631/jzus.C1100374.
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]. Frontiers of Information Technology & Electronic Engineering, 2012, 13(8): 624-634. DOI: 10.1631/jzus.C1100374.
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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