AMR Steganalysis Based on Second-Order Difference of Pitch Delay
AMR Steganalysis Based on Second-Order Difference of Pitch Delay
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DOI：
10.1109/tifs.2016.2636087
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发表时间：
2017-06
影响因子：
6.8
通讯作者：
Yanzhen Ren;J. Yang;Jinwei Wang;Lina Wang
中科院分区：
文献类型：
--
作者：
Yanzhen Ren;J. Yang;Jinwei Wang;Lina Wang
本文提出了一种新颖的隐写分析方案，用于检测自适应多速率（AMR）音频隐写术。 AMR音频编解码器广泛应用于移动通信和移动互联网系统中。由于基音延迟的可修改性，基于基音延迟调制的多种AMR隐写方案逐渐出现，并且具有高容量和良好的不可感知性。基于Cover和stego AMR音频在相邻基音延迟连续性上的差异，通过计算马尔可夫转移概率MSDPD，提出二阶基音延迟差异(MSDPD)隐写分析特征矩阵，并利用标定方法对Cover特征进行估计，得到标定后的MSDPD特征，提高方案的准确性。使用支持向量机作为隐写分析器来测试我们提出的方案的性能。实验结果表明，当嵌入码率为30%或以上时，我们提出的方法的正确检测率超过85%，对于覆盖音频可以达到85%以上。对比实验结果表明，我们提出的方法的性能优于现有方法，特别是在低嵌入率方面。该方法可以扩展到其他CELP编解码器，例如G.723.1和G.729。
This paper presents a novel steganalysis scheme for the detection of adaptive multi-rate (AMR) audio steganography. AMR audio codec is used widely in mobile communication and mobile Internet system. Due to the modifiability of pitch delay, several AMR steganography schemes based on pitch delay modulation have emerged gradually and have high capacity and good imperceptibility. Based on the difference between cover and stego AMR audios on the continuity of adjacent pitch delay, this paper proposes the matrix of the second-order difference of pitch delay (MSDPD) steganalysis features by calculating the Markov transition probability MSDPD, and uses the calibration method to estimate the cover’s features to get the calibrated MSDPD features to improve the accuracy of the scheme. Support vector machine is used as the steganalyzer to test the performance of our proposed scheme. The experimental results show that the correct detection rate of our proposed method is more than 85% when the embedding bit rate is 30% or above, and can reach above 85% for cover audios. The results of contrast experiment show that the performance of our proposed method is better than the existing method, especially on low embedding rate. The method can be extended to other CELP codec, such as G.723.1 and G.729.