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

Detection of quantization index modulation steganography in G.723.1 bit stream based on quantization index sequence analysis
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基于量化索引序列分析的G.723.1码流量化索引调制隐写术检测

DOI:
10.1631/jzus.c1100374
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发表时间:
2012-08
期刊:
Journal of Zhejiang University: Science C
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通讯作者:
China)(2Tsinghua National Laboratory for Informati
China)(2Tsinghua National Laboratory for Informati
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其他
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作者:
Song-bin LI 1;Beijing 100084;China);Song-bin LI 1,2,Huai-zhou TAO1,2,Yong-feng HUANG 1;2;Huai-zhou TAO1;2;Yong-feng HUANG 1;2(1Department of Electronic Engineering;Tsinghua University;Beijing 100084;China)(2Tsinghua National Laboratory for Informati

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提出了一种检测G.723.1码流中量化索引调制(QIM)隐写的方法。我们表明,每个量化索引(码字)的量化索引序列中的分布具有不平衡和相关的特性。我们提出了统计模型的设计,以提取这些特征的定量特征向量。将提取的特征向量与支持向量机相结合,构建了G.723.1码流中QIM隐写检测的分类器。实验结果表明,该方法的检测性能远优于现有的在非压缩域提取特征向量的盲检测方法。即使在压缩比特流持续时间低至3.6 s时,我们的方法的召回率和准确率都超过90%。
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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