Abstract
The proposed research work presents a novel data hiding method for video steganography in the compressed domain. In this method, the random numbered secret frames are selected from the RGB cover video sequence. This method increases the complexity level of video steganography by considering the specific host to conceal confidential data. It extracts the specific non-dynamic region from the secret frame and transforms the pixel value to the frequency domain using Fast Fourier Transform (FFT). The usage of random Least Significant Bit (LSB) of the real part of FFT as a carrier object leads to good video quality and secret data-carrying capacity. Furthermore, the secure compressed stego video is reconstructed using the H.264 video compression technique. The proposed method is experimented on some well-known video datasets by considering RGB images with different resolutions as a secret message. Performance evaluation parameters evaluate the proposed method’s efficiency, imperceptibility, robustness, and embedding capacity, and the improved results are compared with reported methodologies. The results show a significant improvement in the imperceptibility as a Peak Signal-to-Noise Ratio (PSNR) value is reached up to infinity (Inf) in some cases. At the same time, the similarity between embedded and extracted message is achieved nearer to 1 with the negligible Bit Error Rate (BER) less than 0.1%, and the embedding capacity greater than 0.5% in all cases indicates an excellent sign of carrying a big amount of confidential data.
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References
Mstafa, R.J., Elleithy, K.M.: Compressed and raw video steganography techniques: a comprehensive survey and analysis. Multimed. Tools Appl. 76(20), 21749–21786 (2017). https://doi.org/10.1007/s11042-016-4055-1 (Springer)
Mstafa, R.J., Elleithy, K.M., Abdelfattah, E.: Video steganography techniques: taxonomy, challenges, and future directions. In: Applications and Technology Conference (LISAT), 2017. IEEE Long Island, pp. 1–6, IEEE (2017). https://doi.org/10.1109/LISAT.2017.8001965
Balu, S., Babu, C.N.K., Amudha, K.: Secure and efficient data transmission by video steganography in medical imaging system. Cluster Comput. 4057–4063 (2018). https://doi.org/10.1007/s10586-018-2639-4 (Springer)
Li, G., Ito, Y., Yu, X., Nitta, N., Babaguchi, N.: Recoverable privacy protection for video content distribution. EURASIP J. Inf. Secur. 1–11 (2010). https://doi.org/10.1155/2009/293031 (Springer)
Liu, Y.X., Li, Z., Ma, X., Liu, J.: A novel data hiding scheme for H.264/AVC video streams without intra-frame distortion drift. In: IEEE 14th International Conference on Communication Technology, pp. 824–828. IEEE (2012). https://doi.org/10.1109/ICCT.2012.6511318
Liu, Y., Li, Z., Maa, X., Liu, J.: A robust data hiding algorithm for H.264/AVC video streams. J. Syst. Soft. 86(8), 2174–2183 (2013). https://doi.org/10.1016/j.jss.2013.03.101
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
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. IEEE—Institute of Electrical Electronics Engineers, Inc., ISSN No.: 2169-3536. https://doi.org/10.1109/ACCESS.2017.2691581, pp 5354–5365, 6th April 2017
Liu, S., Xu, D.: A robust steganography method for HEVC based on secret sharing. Cognitive Syst. Res. 59, 207–220 (2020). https://doi.org/10.1016/j.cogsys.2019.09.008 (Elsevier)
Yang, J., Li, S.: An efficient information hiding method based on motion vector space encoding for HEVC. Multimed. Tools Appl. 77(10), 11979–12001 (2017). https://doi.org/10.1007/s11042-017-4844-1 (Springer)
Khan, A., Sarfaraz, A.: FFT-ETM based distortion less and high payload image steganography. Multimed. Tools Appl. 25999–26022 (2019). https://doi.org/10.1007/s11042-019-7664-7 (Springer)
Gonzalez, R.C., Woods, R.E.: Digital Image Processing, 3rd ed. ISBN: 0-13-168728-x 978-0-13-168728-8. Pearson Education (2008)
Tutatchikov, V.S.: Two-dimensional fast Fourier transform Batterfly in analog of Cooley-Tukey algorithm. In: 11th International Forum on Strategic Technology (IFOST), pp. 495–498, IEEE (2016). https://doi.org/10.1109/IFOST.2016.7884163
Hussein, A.A., Al-Thahab, O.Q.J.: Design and simulation a video steganography system by using FFTturbo code methods for copyrights application. Eastern-Eur. J. Enterprise Technol. 2(9), 43–55 (2020). https://doi.org/10.15587/1729-4061.2020.201010
https://www.elecard.com/videos. Video compression Guru, Elecard Video, June 2019
https://github.com/remega/video_database/tree/master/videos. Remega video database, November 8, 2017
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Patel, R., Lad, K., Patel, M. (2022). FFT-Based Robust Video Steganography over Non-dynamic Region in Compressed Domain. In: Iyer, B., Ghosh, D., Balas, V.E. (eds) Applied Information Processing Systems . Advances in Intelligent Systems and Computing, vol 1354. Springer, Singapore. https://doi.org/10.1007/978-981-16-2008-9_19
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DOI: https://doi.org/10.1007/978-981-16-2008-9_19
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