Devising a method for complex steganographic embedding of information in the structural-psychovisual space

Authors

DOI:

https://doi.org/10.15587/1729-4061.2026.351181

Keywords:

unmanned aerial systems, infocommunication systems, video-container, redundancy, structural dependences, positional basis

Abstract

This study examines the set of processes aimed at improving the efficiency of steganographic methods for information protection, while ensuring a specified level of integrity and timeliness of transmission in infocommunication systems. The work addresses a scientific and applied task of increasing the level of information security while maintaining a specified level of integrity and timely delivery of data from unmanned aerial systems (UASs). It relates to the existence of a contradiction between ensuring the confidentiality of video information and the efficiency of its delivery with a given integrity.

In the process of research, a method for structural steganographic embedding has been devised, based on changing the values of positional basis (PB). The difference is the embedding of information in the process of modifying the PB values, taking into account the detection of structural dependences in the spectrally modified space of a video container (VC). Such transformations are carried out under conditions of reducing the influence of spectral space modifications on the compression level. The above advantages make it possible to build a comprehensive method of steganographic transformations in the process of VC compression.

The method is distinguished by two principal aspects. The first is the use of a sequence of steganographic transformations in independent spaces to detect dependences that are used in the process of embedding information. The second is that information is embedded in the structural-spectral space, taking into account its modification by the youngest bits. This enables increasing the level of steganographic capacity by an average of 7% without distorting the integrity of the stegano-containers and removing hidden information on the receiving side.

The devised method is intended to be used to improve the confidentiality, efficiency, and integrity of video information delivery from unmanned systems

Author Biographies

Vladimir Barannik, V. N. Karazin Kharkiv National University

Doctor of Technical Sciences, Professor

Department of Mathematical Modeling and Data Analysis

Dmitry Barannik, Kruty Heroes Military Institute of Telecommunications and Information Technology

Doctor of Philosophy (PhD), Lecturer, Researcher

Department of Communication Systems and Networks

Mykhailo Babenko, Dniprovsky State Technical University

PhD, Associate Professor

Department of Systems Software

Rodion Prokopenko, Kharkiv National University of Radio Electronics

PhD Student

Department of Information and Network Engineering

Oleksandr Akimov, Interregional Academy of Personnel Management

Doctor of Science in Public Administration, Professor, Honored Economist of Education of Ukraine

Department of Public Administration

Nina Petrukha, Kyiv National University of Construction and Architecture

PhD, Associate Professor

Department of Management in Construction

References

  1. Barannik, V., Lytvinenko, M., Okladnoy, D., Suprun, O. (2017). Description of the OFDM symbol with the help of mathematical laws. Analysis of technologies that were used in this case. 2017 2nd International Conference on Advanced Information and Communication Technologies (AICT), 183–187. https://doi.org/10.1109/aiact.2017.8020095
  2. Ai, D., Jiang, G., Lam, S.-K., He, P., Li, C. (2023). Computer vision framework for crack detection of civil infrastructure – A review. Engineering Applications of Artificial Intelligence, 117, 105478. https://doi.org/10.1016/j.engappai.2022.105478
  3. Sharma, R., Bollavarapu, S. (2015). Data Security using Compression and Cryptography Techniques. International Journal of Computer Applications, 117 (14), 15–18. https://doi.org/10.5120/20621-3342
  4. Barannik, V., Sidchenko, S., Barannik, D., Shulgin, S., Barannik, V., Datsun, A. (2021). Devising a conceptual method for generating cryptocompression codograms of images without loss of information quality. Eastern-European Journal of Enterprise Technologies, 4 (2 (112)), 6–17. https://doi.org/10.15587/1729-4061.2021.237359
  5. Chanda D’Layla, A. W., Nevin, M., Sunardi Putra, G. G., de La Croix, N. J., Ahmad, T. (2023). Steganography in Grayscale Images: Improving the Quality of a Stego Image. 2023 3rd International Conference on Smart Generation Computing, Communication and Networking (SMART GENCON), 1–6. https://doi.org/10.1109/smartgencon60755.2023.10442310
  6. Dipankar, D. (2025). Comparative Analysis Of Steganographic Techniques For Data Hiding In Digital Images. figshare. Journal contribution. https://doi.org/10.6084/m9.figshare.30621860.v1
  7. Rizal, R., Rahmatulloh, A., Widiyasono, N., R, R., Nursamsi, D. R. (2023). Steganography: Combination of Least Significant Bit (LSB) and Bit-Plane Complexity Segmentation (BPCS) Methods for Hiding Massage on Image and Audio. International Journal of Computer Applications, 185 (21), 1–7. https://doi.org/10.5120/ijca2023922929
  8. Hama, H. K., Ahmed, A., Hassan, B. A., Abdullah, A. A. (2025). Hybrid Encryption and Steganography for Secure Image Data Hiding. UHD Journal of Science and Technology, 9 (2), 287–296. https://doi.org/10.21928/uhdjst.v9n2y2025.pp287-296
  9. Emad, E., Safey, A., Refaat, A., Osama, Z., Sayed, E., Mohamed, E. (2018). A secure image steganography algorithm based on least significant bit and integer wavelet transform. Journal of Systems Engineering and Electronics, 29 (3), 639. https://doi.org/10.21629/jsee.2018.03.21
  10. Ravindra, A., Bansod, S., Singh, S. K. (2025). LSB-Based Image Steganography Using Image Enlargement. 2025 International Conference on Computing Technologies (ICOCT), 1–4. https://doi.org/10.1109/icoct64433.2025.11118799
  11. Majumder, J., Pradhan, C. (2022). An interpolation based steganographic technique with least-significant-bit and pixel value differencing in a pixel block. Indonesian Journal of Electrical Engineering and Computer Science, 27 (2), 1074. https://doi.org/10.11591/ijeecs.v27.i2.pp1074-1082
  12. Théophile, I., De La Croix, N. J., Ahmad, T. (2023). Fuzzy Logic-based Steganographic Scheme for high Payload Capacity with high Imperceptibility. 2023 11th International Symposium on Digital Forensics and Security (ISDFS), 1–6. https://doi.org/10.1109/isdfs58141.2023.10131727
  13. Chen, Z.-Q., Huang, Y.-H., Chen, X.-Y., Lo, S.-L. (2025). ADPGAN: Anti-Compression Attention-Based Diffusion Pattern Steganography Model Using GAN. Electronics, 14 (22), 4426. https://doi.org/10.3390/electronics14224426
  14. Tan, L., Li, Y., Zeng, Y., Chen, P. (2025). An Adaptive JPEG Steganography Algorithm Based on the UT-GAN Model. Electronics, 14 (20), 4046. https://doi.org/10.3390/electronics14204046
  15. Barannik, D., Barannik, V. (2022). Steganographic Coding Technology for Hiding Information in Infocommunication Systems of Critical Infrastructure. 2022 IEEE 4th International Conference on Advanced Trends in Information Theory (ATIT), 88–91. https://doi.org/10.1109/atit58178.2022.10024185
  16. Gonzalez, R., Woods, R. (2018). Digital Image Processing. Pearson, 1022. Available at: https://www.scirp.org/reference/referencespapers?referenceid=3227103
  17. Radosavljević, M., Brkljač, B., Lugonja, P., Crnojević, V., Trpovski, Ž., Xiong, Z., Vukobratović, D. (2020). Lossy Compression of Multispectral Satellite Images with Application to Crop Thematic Mapping: A HEVC Comparative Study. Remote Sensing, 12 (10), 1590. https://doi.org/10.3390/rs12101590
  18. Barannik, V., Ryabukha, Y., Barannik, N., Barannik, D. (2020). Indirect Steganographic Embedding Method Based on Modifications of the Basis of the Polyadic System. 2020 IEEE 15th International Conference on Advanced Trends in Radioelectronics, Telecommunications and Computer Engineering (TCSET), 699–702. https://doi.org/10.1109/tcset49122.2020.235522
  19. Barannik, V., Shulgin, S., Barannik, N., Barannik, V. (2022). Method of Coding Subbands of Non-Homogeneous Spectrum of Video Segments in Uneven Diagonal Space. 2022 IEEE 4th International Conference on Advanced Trends in Information Theory (ATIT), 72–75. https://doi.org/10.1109/atit58178.2022.10024236
  20. Ponomarenko, N., Jin, L., Ieremeiev, O., Lukin, V., Egiazarian, K., Astola, J. et al. (2015). Image database TID2013: Peculiarities, results and perspectives. Signal Processing: Image Communication, 30, 57–77. https://doi.org/10.1016/j.image.2014.10.009
Devising a method for complex steganographic embedding of information in the structural-psychovisual space

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Published

2026-02-27

How to Cite

Barannik, V., Barannik, D., Babenko, M., Prokopenko, R., Akimov, O., & Petrukha, N. (2026). Devising a method for complex steganographic embedding of information in the structural-psychovisual space. Eastern-European Journal of Enterprise Technologies, 1(9 (139), 19–30. https://doi.org/10.15587/1729-4061.2026.351181

Issue

Vol. 1 No. 9 (139) (2026): Information and controlling system

Section

Information and controlling system

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Copyright (c) 2026 Vladimir Barannik, Dmitry Barannik, Mykhailo Babenko, Rodion Prokopenko, Oleksandr Akimov, Nina Petrukha

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