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Steganalysis of Adaptive Multiple-Rate Speech Using Parity of Pitch-Delay Value

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Security and Privacy in New Computing Environments (SPNCE 2019)

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Abstract

Exploiting the fact that the pitch period parameter in speech parameter encoding is difficult to predict, a large number of steganographic strategies choose to embed secret information in the pitch period. Several detection methods for these steganography strategies based on the pitch period have also been proposed so far, but it is still a challenge to detect the steganography accurately. In this work, a new steganalysis scheme is proposed to detect pitch period based steganography, which has lower complexity and higher accuracy compared with the existing steganalysis schemes. Firstly, we regard a frame as a calculation unit within which the parity of four sub-frames can be obtained. Secondly, after filtering and merging into 14-dimensional PBP (parity Bayesian probability) features, these features are classified by the support vector machine (SVM). We evaluate the performance of the proposed strategy with numerous speech samples encoded by the adaptive multi-rate audio codec (AMR) and compare it with the state-of-the-art strategies. The experimental results illustrate that proposed method can effectively detect the pitch-delay based steganography. It is not only superior to the existing steganalysis methods in detection accuracy, but also has outstanding real-time detection performance and robustness because of its lower feature dimension and complexity.

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Acknowledgements

This research is funded by the National Natural Science Foundation of China under Grant Nos. U1536115 and U1405254, the Natural Science Foundation of Fujian Province of China under Grant No. 2018J01093, the Program for New Century Excellent Talents in Fujian Province University under Grant No. MJK2016-23, the Program for Outstanding Youth Scientific and Technological Talents in Fujian Province University under Grant No. MJK2015-54, the Promotion Program for Young and Middle-aged Teachers in Science and Technology Research of Huaqiao University under Grant No. ZQN-PY115, Program for Science and Technology Innovation Teams and Leading Talents of Huaqiao University under Grant No. 2014KJTD13, the Opening Project of Shanghai Key Laboratory of Integrated Administration Technologies for Information Security under Grant No. AGK201710 and the Subsidized Project for Postgraduates’ Innovative Fund in Scientific Research of Huaqiao University No. 17014083010.

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Authors and Affiliations

  1. College of Computer Science and Technology, National Huaqiao University, Xiamen, 361021, China

    Xiaokang Liu, Hui Tian, Jie Liu & Xiang Li

  2. Network Technology Center, National Huaqiao University, Xiamen, 361021, China

    Jing Lu

Authors
  1. Xiaokang Liu
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  2. Hui Tian
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  3. Jie Liu
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  4. Xiang Li
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  5. Jing Lu
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Corresponding author

Correspondence to Hui Tian .

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Editors and Affiliations

  1. Guangzhou University, Guangdong, Guangdong, China

    Jin Li

  2. College of Cyberspace Security, Nankai University, Tianjin, Tianjin, China

    Zheli Liu

  3. College of Mathematics and Computer Science, Zhejiang Normal University, Zhejiang, Zhejiang, China

    Hao Peng

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Liu, X., Tian, H., Liu, J., Li, X., Lu, J. (2019). Steganalysis of Adaptive Multiple-Rate Speech Using Parity of Pitch-Delay Value. In: Li, J., Liu, Z., Peng, H. (eds) Security and Privacy in New Computing Environments. SPNCE 2019. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 284. Springer, Cham. https://doi.org/10.1007/978-3-030-21373-2_21

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