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A hybrid DST-SBPNRM approach for compressed video steganography

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Abstract

The proposed research work is presenting a novel approach in the field of steganography, especially in the compressed video domain with optimum imperceptibility to secure the secret information. In this approach, the specific secret cover video frames are selected from the sequence of video frame from which the non-dynamic region is separated. Discrete sine transform (DST) transforms this non-dynamic region from spatial domain to frequency domain. The least significant bits (LSBs) of the integer part of DST components are used to conceal the secret data. The H.264 codec is used to construct the compressed stego video using intra-frame, inter-frame prediction, motion vector estimation, transform coefficient, i.e., Discrete Cosine Transform (DCT), quantization, and entropy coding. The efficiency of the proposed hybrid technique “DST- Secret Bit Positions of Non-dynamic Region for Message (DST-SBPNRM)” for video steganography is measured by evaluating imperceptibility, robustness and embedding capacity. Moreover, the proposed technique is experimented on the well-defined video dataset and the obtained results are compared with the related work to validate the significance of the proposed work.

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Authors and Affiliations

  1. Computer Engineering Department, C. G. Patel Institute of Technology, Uka Tarsadia University, Bardoli, Gujarat, India

    Rachna Patel

  2. SRIMCA, Uka Tarsadia University, Bardoli, Gujarat, India

    Kalpesh Lad

  3. Department of Mathematics, Uka Tarsadia University, Bardoli, Gujarat, India

    Mukesh Patel

  4. Computer Science and Engineering Department, R. N. G. Patel Institute of Technology, GTU, Navsari Road, Isroli, Afwa, Bardoli, Surat, Gujarat, India

    Madhavi Desai

Authors
  1. Rachna Patel
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  2. Kalpesh Lad
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  3. Mukesh Patel
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  4. Madhavi Desai
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Correspondence to Rachna Patel.

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Communicated by Y. Zhang.

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Patel, R., Lad, K., Patel, M. et al. A hybrid DST-SBPNRM approach for compressed video steganography. Multimedia Systems 27, 417–428 (2021). https://doi.org/10.1007/s00530-020-00735-9

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  • DOI: https://doi.org/10.1007/s00530-020-00735-9

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