Skip to main content
Log in

An efficient DCT-SBPM based video steganography in compressed domain

  • Original Research
  • Published:
International Journal of Information Technology Aims and scope Submit manuscript

Abstract

In this research work, an efficient robust video steganography in compressed domain is presented based on discrete cosine transform (DCT) encoded with H.264 codec. In this method, a compressed video (.mp4) of different resolutions, frame rates and sizes are used as a cover and RGB image is used as a secret message. Using appropriate stego key, the secret frames from the sequence of video frames are selected and the non-dynamic pixels of these frames are identified. The least significant bits (LSB) of the DCT component of these non-dynamic pixels are used as carrier object for hiding the R, G, and B components of secret message individually. An appropriate embedding key is designed to embed secret message in cover video such that the quality assessment parameters viz. Peak signal-to-noise ratio (PSNR) and mean square error (MSE) of imperceptibility can be optimized. Also, the successful extraction of secret message from the cover stego video is assessed by the robustness parameters viz. Bit error rate (BER) and similarity (Sim). The hiding capacity of proposed video steganography with respect to secret message and cover frame is measured by using hiding ratio (HR). The efficiency of proposed video steganography method is compared with the reported methodologies on the basis of the parameters of imperceptibility and robustness.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3

Similar content being viewed by others

References

  1. Mstafa RJ, Elleithy KM (2017) Compressed and raw video steganography techniques: a comprehensive survey and analysis. Multimed Tools Appl 76(20):21749–21786

    Article  Google Scholar 

  2. Mstafa RJ, Elleithy KM, Abdelfattah E (2017) Video steganography techniques: taxonomy, challenges, and future directions. In: Applications and technology conference (LISAT), 2017 IEEE long island, pp 1–6

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

    Article  Google Scholar 

  4. Shukur WA, Abdullah WN, Qurban LK (2018) Information hiding in digital video using DCT, DWT and CvT. J Phys Conf Ser 1003:1–19

    Article  Google Scholar 

  5. Mstafa RJ, Elleithy KM (2016) 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

  6. Mstafa RJ, Elleithy KM (2016) 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

  7. Mstafa RJ, Elleithy KM, Abdelfattah E (2017) A robust and secure video steganography method in DWT-DCT domains based on multiple object tracking and ECC. In: IEEE access (volume 5), IEEE – Institute of Electrical Electronics Engineers, Inc., pp 5354–5365, 6 April 2017 (ISSN No.: 2169-3536). https://doi.org/10.1109/ACCESS.2017.2691581

  8. Idbeaa T, Samad SA, Husain H (2016) A secure and robust compressed domain video steganography for intra- and interframes using embedding-based byte differencing (EBBD) scheme. PLoS ONE. https://doi.org/10.1371/journal.pone.0150732

    Article  Google Scholar 

  9. Britanak V, Rao KR (2000) Two-dimensional DCT/DST universal computational structure for block sizes. IEEE Trans Signal Process. https://doi.org/10.1109/78.875483

    Article  Google Scholar 

  10. Richardson IE (2010) The H.264 advanced video compression standard. Wiley Publications (ISBN: 978-0-470-51692-8)

    Book  Google Scholar 

  11. Liu Y, Liu S, Wang Y, Zhao H, Liu Si (2018) Video steganography: a review. Neurocomputing. https://doi.org/10.1016/j.neucom.2018.09.091

    Article  Google Scholar 

  12. Remega video database. https://github.com/remega/video_database/tree/master/videos. Accessed 8 Nov 2017

  13. Video compression Guru, Elecard Video. https://www.elecard.com/videos. Accessed June 2019

  14. PETS 2009 Benchmark Data, Miami, Florida. http://www.cvg.reading.ac.uk/PETS2009/a.html. Accessed 25 June 2009

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Rachna Patel.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Patel, R., Lad, K., Patel, M. et al. An efficient DCT-SBPM based video steganography in compressed domain. Int. j. inf. tecnol. 13, 1073–1078 (2021). https://doi.org/10.1007/s41870-021-00648-4

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s41870-021-00648-4

Keywords

Navigation