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Post-processing for Enhancing Audio Steganographic Undetectability

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Security and Privacy in Digital Economy (SPDE 2020)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1268))

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Abstract

Currently, the conventional steganography method often only perform data embedding, without additional post-processing to enhance undetectability. In this work, we propose a new audio post-processing steganography model, which further hiding the traces to a certain extent. Specifically, we design the Signal-to-Noise Ratio (SNR) threshold to determine whether the current stego is suitable for adding disturbance or not, and use JS divergence to decide whether the added disturbance is kept or not, respectively. The designed two measures will process the traces frame-by-frame by adding appropriate disturbances on needed sampling points of the stego audio. Experimental results illustrate that, with the proposed post-processing, the undetectability can be successfully improved without affecting the message extraction.

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Acknowledgments

This work was supported by the National Natural Science Foundation of China (Grant No. U1736215, 61672302, 61901237), Zhejiang Natural Science Foundation (Grant No. LY20F020010, LY17F020010), Ningbo Natural Science Foundation (Grant No. 2019A610103) and K.C. Wong Magna Fund in Ningbo University.

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Authors and Affiliations

  1. College of Information Science and Engineering of Ningbo University, Ningbo, China

    Xueyuan Zhang, Rangding Wang, Li Dong & Diqun Yan

Authors
  1. Xueyuan Zhang
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  2. Rangding Wang
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  3. Li Dong
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  4. Diqun Yan
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Corresponding author

Correspondence to Rangding Wang .

Editor information

Editors and Affiliations

  1. University of Technology Sydney, Sydney, NSW, Australia

    Shui Yu

  2. IBM Zurich Research Laboratory, Zurich, Switzerland

    Peter Mueller

  3. Ningbo University, Ningbo, China

    Jiangbo Qian

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Zhang, X., Wang, R., Dong, L., Yan, D. (2020). Post-processing for Enhancing Audio Steganographic Undetectability. In: Yu, S., Mueller, P., Qian, J. (eds) Security and Privacy in Digital Economy. SPDE 2020. Communications in Computer and Information Science, vol 1268. Springer, Singapore. https://doi.org/10.1007/978-981-15-9129-7_38

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  • DOI: https://doi.org/10.1007/978-981-15-9129-7_38

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-15-9128-0

  • Online ISBN: 978-981-15-9129-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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