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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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References

  1. Liu, Y., Liu, S., Wang, Y., Zhao, H., Liu, S.: Video steganography: a review. Neurocomputing (2018). https://doi.org/10.1016/j.neucom.2018.09.091. ((accepted manuscript; Elsevier November 2018))

    Article  Google Scholar 

  2. Mstafa, R.J., Elleithy, K.M.: Compressed and raw video steganography techniques: a comprehensive survey and analysis. Multimedia Tools Appl. 76(20), 21749–21786 (2017)

    Article  Google Scholar 

  3. Mstafa, R.J., Elleithy, K.M., Abdelfattah, E.: Video steganography techniques: taxonomy, challenges, and future directions. Applications and Technology Conference (LISAT), 2017 IEEE Long Island, pp. 1–6. IEEE (2017). https://doi.org/10.1109/LISAT.2017.8001965

  4. Richardson, I.E.: The H.264 advanced video compression standard. Wiley, New York (2010).. ((ISBN: 978-0-470-51692-8))

    Book  Google Scholar 

  5. Mstafa, R.J., Elleithy, K.M.: A DCT-based robust video steganographic method using BCH error correcting codes. In: 2016 IEEE Long Island Systems, Applications and Technology Conference (LISAT). IEEE (2016). https://doi.org/10.1109/LISAT.2016.7494111

  6. Liu, S., Xu, D.: A robust steganography method for HEVC based on secret sharing. Cogn. Syst. Res. 59, 207–220 (2020). https://doi.org/10.1016/j.cogsys.2019.09.008

    Article  Google Scholar 

  7. Yilmaz, A., Alatan, A.A.: Error concealment of video sequences by data hiding. In: 2003 International Conference on Image Processing, pp. 679–682. IEEE (2003). https://doi.org/10.1109/ICIP.2003.1246771

  8. Shukur, W.A., Abdullah, W.N., Qurban, L.K.: Information hiding in digital video using DCT, DWT and CvT. J. Phys. Conf. Ser. 1003, 1–19 (2018). ((Conference 1))

    Article  Google Scholar 

  9. Mstafa, R.J., Elleithy, K.M.: A novel video steganography algorithm in DCT domain based on hamming and BCH codes. In: 37th IEEE Sarnoff Symposium, pp. 208–213. IEEE (2016). https://doi.org/10.1109/SARNOF.2016.7846757

  10. Mstafa, R.J., Elleithy, K.M., Abdelfattah, E.: A robust and secure video steganography method in DWT-DCT domains based on multiple object tracking and ECC. IEEE Access (vol. 5), pp. 5354–5365. IEEE, Institute of Electrical Electronics Engineers, Inc. (2017). https://doi.org/10.1109/ACCESS.2017.2691581, Accessed 6th Apr 2017. (ISSN No.: 2169-3536)

  11. Britanak, V., Rao, K.R.: Two-dimensional DCT/DST universal computational structure for 2m×2n block sizes. IEEE Trans. Signal Process. (2000). https://doi.org/10.1109/78.875483

  12. Chan, A., Zeng, K., Mohapatra, P., Lee, S.-J., Banerjee, S.: Metrics for evaluating video streaming quality in Lossy IEEE 802.11 wireless networks. In: INFOCOM'10: Proceedings of the 29th Conference on Information Communications, pp. 1613–1621 (2010)

  13. Video compression Guru, Elecard Video (2019). https://www.elecard.com/videos

  14. Mstafa, R.J., Elleithy, K.M.: An ECC/DCT—based robust video steganography algorithm for secure data communication. J. Cyber Secur. 53, 167–194 (2017)

    Article  Google Scholar 

  15. Tampere University of Technology, Ultra Video Group (2018). http://ultravideo.cs.tut.fi/#testsequences. Accessed on 15 Jul 2018

  16. Xiph.org Foundation, Derf’s test media collection (2017). https://media.xiph.org/video/derf/. Accessed on 27 Oct 2017

  17. Remega video database (2017). https://github.com/remega/video_database/tree/master/videos. Accessed on 8 Nov 2017

  18. Yang, J., Li, S.: An efficient information hiding method based on motion vector space encoding for HEVC. Multimedia Tools Appl. 77(10), 11979–12001 (2017)

    Article  Google Scholar 

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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

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  1. Rachna Patel
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  2. Kalpesh Lad
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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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