STEGANOGRAPHIC TRANSFORMATION METHOD WITH DETECTION OF STRUCTURAL DEPENDEN-CIES OF VIDEO CONTAINERS
DOI:
https://doi.org/10.18372/2310-5461.68.18945Keywords:
robotic complex, containers of visual origin, redundancy reduction, structural dependencies, positional basisAbstract
transmitted from robotic complexes. For this, selective processing is used. However, the problematic issue here is that with the increase in the complexity of video images, the number of segments whose information requires protection increases. There are losses in the compression level. The main reason for this is the destruction of dependencies used in the process of reducing redundancy. Hence, the relevant scientific and applied problem is related to increasing the level of confidentiality of video information for robotic platforms with achieving the required level of processing time. The article considers two approaches to solving the problem. The first approach concerns improving the quality of selective processing of video images. Another option is to organize the protection of video information during its compression. An option here may be the use of steganographic transformations. The special properties of steganographic transformations are shown. Firstly, the use of steganographic methods in complex information protection systems allows to increase the level of information confidentiality. Secondly, steganographic methods have the potential to reduce the impact on the destruction of compression-important dependencies. The article considers several directions for building steganographic information protection methods. Cases of building containers based on video content are presented. It is indicated that the most practically tested is the implementation of steganographic information embedding using least significant bit (LSB) methods. However, under the conditions of the required level of steganographic capacity, compression level losses occur. Hence, it is important to create alternative technologies for steganographic information hiding to the LSB method. The article presents the development of a method of steganographic transformations by taking into account dependencies in the structural space based on the modification of the adaptive P-basis. The advantage of the created steganographic system over existing approaches in terms of steganographic capacity in the conditions of the required resistance to visual attacks (attacks on the detection of the fact of embedded messages) is proven.
References
V. Barannik, D. Barannik, A. Lekakh "A steganographic method based on the modification of regions of the image with different saturation", Advanced Trends in Radioelecrtronics, Telecommunications and Computer Engineering (TCSET), 2018 14th International Conference on,2018, pp. 542-545. DOI: 10.1109/TCSET.2018.8336260
Бараннік В., Сідченко С., Бараннік Д., Бараннік В. Оцінка впливу недетермінованих характеристик на ефективність криптокомпресійного кодування зображень у диференційованому базисі. Безпека інформації. 2020. Том 26. № 3. С. 168–180.
Бараннік , В. В., Гуржій , П. М., Сідченко , С. О., Бараннік , Д. В., Чорномаз , І. К., and Григор’ян , М. Б. (2023) “Saving Elements Methods for Service Components of Images Cryptocompression Codograms”, Visnyk NTUU KPI Seriia - Radiotekhnika Radioaparatobuduvannia, (92), pp. 28-40. doi: 10.20535/RADAP.2023.92.28-40.
Конахович Г.Ф. Оцінка ефективності методів стеганографічного вбудовування інформації у спектральну область зображень. АСУ та прилади автоматики. 2014. Вип.168. С. 23 29.
Задирака В.К. Кошкіна Н.В., Нікітенко Л.Л. Статистичний аналіз систем із цифровими водяними знаками. Штучний інтелект. 2008. №3. С.315-324.
Zia U., McCartney M., Scotney B. et al. Survey on image encryption techniques using chaotic maps in spatial, transform and spatiotemporal domains. International Journal of Information Security. 2022. Vol. 21. P. 917–935. DOI: https://doi.org/10.1007/s10207-022-00588-5
Бараннік Д.В. Технологія приховування інформативного контенту в динамічному потоці відеосегментів. Наукоємні технології. 2023. №4. С. 408-415. DOI: https://doi.org/10.18372/2310-5461.60.18270.
Xiaolong Duan, Bin Li, Zhaoxia Yin, Xinpeng Zhang, Bin Luo. Robust image steganography against lossy JPEG compression based on embedding domain selection and adaptive error correction. Expert Systems with Applications. vol. 229, Part A. 2023. https://doi.org/10.1016/j.eswa.2023.120416.
D. Barannik, V. Barannik, S. Korotin, A. Bekirov, O. Veselska, L. Wieclaw Method of safety of informational resourses on the basis of use of the indirect steganography The Technology of Structural Classification of Video Frames in Intelligent Info-Communication Systems. Proceeding of the VIII International Conference of Students, PhD Students and Young Scientists, Springer Nature Switzerland AG2020, editors S. Zawislak, Volume 70, ISSN 2211-0984. “Development of technology analys for the content semantics,” in Engineer of XXI Century - We Design the Future, Bielsko-Biała, Poland: ATH, 2020. Р.195 202. doi.org/10.1007/978-3-030-13321-4_17.
A. Krasnorutsky, V. Barannik, K. Revva, V. Kolesnyk, S. Shulgin, N. Kharchenko "Integration of Video Image Decryption Coding into a Remote Video Information Service," 2023 IEEE 5th International Conference on Advanced Information and Communication Technologies (AICT), Lviv, Ukraine, 2023, pp. 1-6, doi: 10.1109/AICT61584.2023.10452679.
Barannik, V. et al. (2023). A Method of Scrambling for the System of Cryptocompression of Codograms Service Components. In: Klymash, M., Luntovskyy, A., Beshley, M., Melnyk, I., Schill, A. (eds) Emerging Networking in the Digital Transformation Age. TCSET 2022. Lecture Notes in Electrical Engineering, vol 965. Springer, Switzerland, Cham. https://doi.org/10.1007/978-3-031-24963-1_26.
Козловський В., Толстікова О., Савченко А., Клобукова Л. Критерії вибору спектрально-ефективних сигналів у бездротових інформаційних мережах. Наукоємні технології. 2022. № 4 (56). С. 286 – 273. DOI: https://doi.org/ 10.18372/2310-5461.56.17125.
Benjamin Bross, Ye-Kui Wang, Yan Ye, Shan Liu, Jianle Chen, Gary J. Sullivan, Jens-Rainer Ohm. Overview of the versatile video coding (VVC) standard and its applications. IEEE Transactions on Circuits and Systems for Video Technology. vol. 31 (Issue 10). PP. 3736-3764, Oct. 2021. doi: 10.1109/TCSVT.2021.3101953.
Бараннік Д.В. Метод двокаскадної імплантації прихованої інформації на основі стеганокомпресійних перетворень. Інформаційні технології та електронна інженерія. 2024. №1. С. 31 – 38.
Barannik V. et al.: Significant Microsegment Transformants Encoding Method to Increase the Availability of Video Information Resource. IEEE Advanced Trends in Information Theory (ATIT): proceedings of 2nd Intern. Conf. (Kyiv, Ukraine, November 25-27, 2020). Kyiv, 2020. Р. 52-56. DOI: 10.1109/ATIT50783.2020.9349256.
Одарченко Р., Рябенко М., Іванова М., Аль-Мудхафар Акіл Абдулхусейн М. Метод аналізу взаємодії параметрів QoE та QoS на основі алгоритмів керування машинами. Наукоємні технології. 2022. № 4(56). С. 305–316. DOI: https://doi.org/10.18372/2310-5461.56.17130.
Barannik V. et al.: "The Methods of Intellectual Processing of Video Frames in Coding Systems in Progress Aeromonitor to Increase Efficiency and Semantic Integrity," 2022 IEEE 4th International Conference on Advanced Trends in Information Theory (ATIT), Kyiv, Ukraine, 2022, pp. 53-56, doi: 10.1109/ATIT58178.2022.10024208.
P. Bas, T. Filler, and T. Pevný. Break our steganographic system - the ins and outs of organizing BOSS. In T. Filler, T. Pevný, A. Ker, and S. Craver, editors, Information Hiding, 13th International Conference. vol.6958 of Lecture Notes in Computer Science. pp. 59-70. Prague, Czech Republic. 2011. https://doi.org/10.1007/978-3-642-24178-9_5.
D. Barannik and V. Barannik, "Steganographic Coding Technology for Hiding Information in Infocommunication Systems of Critical Infrastructure," 2022 IEEE 4th International Conference on Advanced Trends in Information Theory (ATIT), Kyiv, Ukraine, 2022, pp. 88-91, doi: 10.1109/ATIT58178.2022.10024185.
Dahyun Kang, Piotr Koniusz, Minsu Cho, Naila Murray. Distilling Self-Supervised Vision Transformers for Weakly-Supervised Few-Shot Classification & Segmentation. 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 2023. pp. 19627-19638. DOI Bookmark: 10.1109/CVPR52729.2023.01880.
Eli Dworetzky, PictureEdgar Kaziakhmedov, PictureJessica Fridrich. Advancing the JPEG Compatibility Attack: Theory, Performance, Robustness, and Practice. Proceedings of the 2023 ACM Workshop on Information Hiding and Multimedia Security. – 2023. – pp. 67–79. https://doi.org/10.1145/3577163.3595090.
V. Barannik and A. Shiryaev, "Quadrature compression of images in polyadic space," Proceedings of International Conference on Modern Problem of Radio Engineering, Telecommunications and Computer Science, 2012, pp. 422-422. INSPEC Accession Number: 12713484.
G. J. Sullivan, J.-R. Ohm, W.-J. Han and T. Wiegand, "Overview of the high efficiency video coding (HEVC) standard"ю IEEE Transactions on Circuits and Systems for Video Technologyю - vol. 22 (Issue. 12). - pp. 1649-1668. 2012. doi: 10.1109/TCSVT.2012.2221191
Barannik, V. et al. (2020). Development of Adaptive Arithmetic Coding Method to the Sequence of Bits. In: Zawiślak, S., Rysiński, J. (eds) Engineer of the XXI Century. EngineerXXI 2018. Mechanisms and Machine Science, vol 70. Springer, Cham. https://doi.org/10.1007/978-3-030-13321-4_18 ISSN 2211-0984.
Barannik V., Khimenko V., Barannik N., Method of indirect information hiding in the process of video compression. Radioelectronic and Computer Systems. 2021. №. 4. PP. 119–131. https://doi.org/10.32620/reks.2021.4.
Thomas Abbott, Bevan Baas. A Scalable JPEG Encoder on a Many-Core Array. 2023 IEEE 16th International Symposium on Embedded Multicore/Many-core Systems-on-Chip (MCSoC). – 2023. – pp. 411-418. doi bookmark: 10.1109/MCSoC60832.2023.00068.
Barannik V., Krasnorutsky А., Kolesnik V., Barannik V., Pchelnikov S., Zeleny P. Compression method in terms of ensuring the fidelity of video images in infocommunication networks // Radioelectronic and Computer Systems, 2022, no 4(100). – pp.10 – 24. DOI: 10.32620/reks.2022.5/09.
Бараннік В.В. Основи теорії структурно-комбінаторного стеганографічного кодування: монографія / В.В. Баранник, Д.В. Баранник, Бекіров А.Є. Х.: Видавництво «Лідер», 2017. 256 с.
Barannik V., Alimpiev A., Barannik D., Barannik N. Detections of sustainable areas for steganographic embedding // East-West Design & Test Symposium (EWDTS). – IEEE, 2017. P. 555-558. DOI: 10.1109/EWDTS.2017.8110028.
Barannik V., Karpenko S. Method of the 3-D image processing. Modern Problems of Radio Engineering, Telecommunications and Computer Science (TCSET): proceedings of Intern. Conf. (Lviv-Slavsko, Ukraine, February 19-23, 2008), Lviv-Slavsko, 2008. Р. 378-380.
Ponomarenko N., Jin L., Ieremeiev O., Lukin V., Egiazarian K., Astola J., Vozel B., Chehdi K., Carli M., Battisti F., Kuo C.-C. J. Image database TID2013: Peculiarities, results and perspectives. Signal Processing: Image Communication. 2015. Vol. 30. P. 57–77. DOI: https://doi.org/10.1016/j.image.2014.10.009.
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