A COMPUTATIONAL SYSTEM FOR EVALUATING HUMAN PERCEPTION IN VIDEO STEGANOGRAPHY
Marcin PERY
marcin.pery@wat.edu.plMilitary University of Technology (Poland)
https://orcid.org/0009-0005-1272-2048
Robert WASZKOWSKI
Military University of Technology (Poland)
https://orcid.org/0000-0002-0170-227X
Abstract
This paper presents a comprehensive computational system designed to evaluate the undetectability of video steganography from human perspective. The system assesses the perceptibility of steganographic modifications to the human eye while simultaneously determining the minimum encoding level required for successful automated decoding of hidden messages. The proposed architecture comprises four subsystems: steganogram database preparation, human evaluation, automated decoding, and comparative analysis. The system was tested using example steganographic techniques applied to a dataset of video files. Experimental results revealed the thresholds of human-level undetectability and automated decoding for each technique, enabling the identification of critical differences between human and algorithmic detection capabilities. This research contributes to the field of steganography by offering a novel framework for evaluating the trade-offs between human perception and automated decoding in video-based information hiding. The system serves as a tool for advancing the development of more secure and reliable video steganographic techniques.
Supporting Agencies
Keywords:
steganography, video steganography, human perception, undetectability, information hidingReferences
Anderson, R., & Petitcolas, F. (1998). On the limits of steganography. IEEE Journal on Selected Areas in Communications, 16(4), 474-481. https://doi.org/10.1109/49.668971
Google Scholar
Chan, C.-K., & Cheng, L. (2004). Hiding data in images by simple LSB substitution. Pattern Recognition, 37(3), 469-474. https://doi.org/10.1016/j.patcog.2003.08.007
Google Scholar
Cox, I., Miller, M., Bloom, J., Fridrich, J., & Kalker, T. (2007). Digital watermarking and steganography. Morgan Kaufmann Publishers.
Google Scholar
DensoWave. (2024). QR code. https://www.qrcode.com/
Google Scholar
Fridrich, J. (2009). Steganography in digital media: Principles, algorithms, and applications. Cambridge University Press, 277-292. https://doi.org/10.1017/CBO9781139192903.014
Google Scholar
Hossain, M. A., Noor, N. U., Ullah, A., Noman, S. H., Pranta, S. D., Bristy, L. M., & Bashar, M. (2024) Enhancing video steganography techniques, using hybrid algorithms. Open Access Library Journal, 11, e11489. https://doi.org/10.4236/oalib.1111489
Google Scholar
Huynh-Thu, Q., & Ghanbari, M. (2008). Scope of validity of PSNR in image/video quality assessment. Electronics Letters, 44(13), 800-801. https://doi.org/10.1049/el:20080522
Google Scholar
Jangid, S., & Sharma, S. (2017). High PSNR based video steganography by MLC(multi-level clustering) algorithm. 2017 International Conference on Intelligent Computing and Control Systems (ICICCS) (pp. 589-594). IEEE. https://doi.org/10.1109/ICCONS.2017.8250530
Google Scholar
Johnson, N. F., & Jajodia, S. (1998). Exploring steganography, seeing the unseen. IEEE Computer, 31(2), 26-34. https://doi.org/10.1109/MC.1998.4655281
Google Scholar
Kadhim, I. J., Premaratne, P., Vial, P. J., & Halloran, B. (2019). Comprehensive survey of image steganography: Techniques, evaluations, and trends in future research. Neurocomputing, 335, 299-326. https://doi.org/10.1016/j.neucom.2018.06.075
Google Scholar
Kahn, D. (1967). The codebreakers: The story of secret writing. Macmillan.
Google Scholar
Katzenbeisser, S. & Petitcolas, F. (2000). Information hiding techniques for steganography and digital watermarking. Artech House, 28(6), 1-2. https://doi.org/10.1201/1079/43263.28.6.20001201/30373.5
Google Scholar
Kunhoth, J., Subramanian, N., Al-Maadeed, S., & Bouridane, A. (2023). Video steganography: Recent advances and challenges. Springer - Multimedia Tools and Applications, 82, 41943-41985. https://doi.org/10.1007/s11042-023-14844-w
Google Scholar
Majeed, N. D., Al-Askery, A., & Hasan, F. S. (2024). Hybrid video steganography and cryptography techniques: Review paper. The Fifth Scientific Conference for Electrical Engineering Techniques Research (EETR2024) (020013). AIP Publishing. https://doi.org/10.1063/5.0236185
Google Scholar
Petitcolas, F. A. P., Anderson, R. J., & Kuhn, M. G. (1999). Information hiding - a survey. Proceedings of the IEEE, 87(7), 1062-1078. https://doi.org/10.1109/5.771065
Google Scholar
Pixabay.com. (2024). Pixabay License. https://pixabay.com/service/license-summary/
Google Scholar
Sencar, H. T., Ramkumar, M., & Akansu, A. N. (2004). Data hiding fundamentals and applications. Elsevier Academic Press.
Google Scholar
Shannon, C. E. (1948). A mathematical theory of communication. The Bell System Technical Journal, 27(3), 379-423. https://doi.org/10.1002/j.1538-7305.1948.tb01338.x
Google Scholar
Stern, M. K., & Johnson, J. H. (2010). Just noticeable difference. In I. B. Weiner & W. E. Craighead (Eds.), The Corsini Encyclopedia of Psychology (1st ed., pp. 1-2). Wiley. https://doi.org/10.1002/9780470479216.corpsy0481
Google Scholar
Wang, Z., Bovik, A. C., Sheikh, H. R., & Simoncelli, E. P. (2004). Image quality assessment: From error visibility to structural similarity. IEEE Transactions on Image Processing, 13(4), 600-612. https://doi.org/10.1109/TIP.2003.819861
Google Scholar
Authors
Marcin PERYmarcin.pery@wat.edu.pl
Military University of Technology Poland
https://orcid.org/0009-0005-1272-2048
Authors
Robert WASZKOWSKIMilitary University of Technology Poland
https://orcid.org/0000-0002-0170-227X
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