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International Conference on Information Security and Cryptology

Inscrypt 2016: Information Security and Cryptology pp 472–483Cite as

Video Steganalysis Based on Centralized Error Detection in Spatial Domain

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Part of the book series: Lecture Notes in Computer Science ((LNSC,volume 10143))

Abstract

This paper presents a novel steganalytic method for detection of quantized DCT-based video steganography. First, the modification on the partially decoded quantized coefficients is modeled. Then the influence of the embedding operation on spatial domain is illustrated, which takes the form of the centralization of errors within each corresponding spatial pixel block. Finally, based on this fact, a 36-dimension feature set is extracted and used for classification. Experiments are carried out on videos corrupted by various quantized DCT-based steganography methods and encoded by various motion estimation methods. Performance results demonstrate the effectiveness of our scheme.

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Acknowledgments

This work was supported by the NSFC under 61303259 and U1536105, National Key Technology R&D Program under 2014BAH41B01, Strategic Priority Research Program of CAS under XDA06030600, and Key Project of Institute of Information Engineering, CAS, under Y5Z0131201.

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Authors and Affiliations

  1. State Key Laboratory of Information Security, Institute of Information Engineering, Chinese Academy of Sciences, Beijing, 100093, China

    Yu Wang, Yun Cao & Xianfeng Zhao

  2. School of Cyber Security, University of Chinese Academy of Sciences, Beijing, 100093, China

    Yu Wang, Yun Cao & Xianfeng Zhao

Authors
  1. Yu Wang
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  2. Yun Cao
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  3. Xianfeng Zhao
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Corresponding author

Correspondence to Yu Wang .

Editor information

Editors and Affiliations

  1. School of Science, Hangzhou Normal University, Hangzhou, China

    Kefei Chen

  2. Institute of Information Engineering, SKLOIS, Beijing, China

    Dongdai Lin

  3. Snapchat Inc., Columbia University, New York, New York, USA

    Moti Yung

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Wang, Y., Cao, Y., Zhao, X. (2017). Video Steganalysis Based on Centralized Error Detection in Spatial Domain. In: Chen, K., Lin, D., Yung, M. (eds) Information Security and Cryptology. Inscrypt 2016. Lecture Notes in Computer Science(), vol 10143. Springer, Cham. https://doi.org/10.1007/978-3-319-54705-3_29

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  • DOI: https://doi.org/10.1007/978-3-319-54705-3_29

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-54704-6

  • Online ISBN: 978-3-319-54705-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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