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International Workshop on Digital Watermarking

IWDW 2018: Digital Forensics and Watermarking pp 69–82Cite as

A Novel Steganalysis of Steghide Focused on High-Frequency Region of Audio Waveform

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Part of the book series: Lecture Notes in Computer Science ((LNSC,volume 11378))

Abstract

In this study, steganalysis of steghide embedded in Microsoft RIFF waveform audio format (WAV) data is investigated. Spectral analyses show that the conventional steganalysis utilize the statistics of high-frequency regions and silent temporal segments of the target signals intentionally or unintentionally. Moreover, the frequency components just below the Nyquist frequency are important for statistic-based steganalysis in terms of the signal-to-noise ratio where the signal corresponds to the distortion components induced by data hiding, and the noise corresponds to the cover signal. A novel steganalysis making full use of the high- frequency features is proposed, and its detection performance is compared with the conventional method, which showed the best performance so far. The results show that the proposed steganalysis outperforms the conventional method for cover data of 100 music signals and 320 speech signals mixed with background noises.

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Acknowledgment

This work was supported by a Grant-in-Aid for Scientific Research C (JSPS KAKENHI 18K11301), 2018.

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Authors and Affiliations

  1. Department of Informatics, Faculty of Informatics, Tokyo University of Information Sciences, 4–1 Onaridai, Wakaba, Chiba, 265-8501, Japan

    Akira Nishimura

Authors
  1. Akira Nishimura
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Correspondence to Akira Nishimura .

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Editors and Affiliations

  1. Korea Advanced Institute of Science and Technology, Daejeon, Korea (Republic of)

    Chang D. Yoo

  2. New Jersey Institute of Technology, Newark, NJ, USA

    Yun-Qing Shi

  3. Korea University, Seoul, Korea (Republic of)

    Hyoung Joong Kim

  4. University of Florence, Florence, Italy

    Alessandro Piva

  5. Korea Advanced Institute of Science and Technology, Daejeon, Korea (Republic of)

    Gwangsu Kim

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Nishimura, A. (2019). A Novel Steganalysis of Steghide Focused on High-Frequency Region of Audio Waveform. In: Yoo, C., Shi, YQ., Kim, H., Piva, A., Kim, G. (eds) Digital Forensics and Watermarking. IWDW 2018. Lecture Notes in Computer Science(), vol 11378. Springer, Cham. https://doi.org/10.1007/978-3-030-11389-6_6

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  • DOI: https://doi.org/10.1007/978-3-030-11389-6_6

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-11388-9

  • Online ISBN: 978-3-030-11389-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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