METHOD ENCODING CONTAINER FRAGMENTS IN SPECTRAL-PARAMETRIC SPACE

Authors

  • Yurii Tsimura Military Institute of Telecommunications and informatization of the name of Heroes Krut, Kyiv, Ukraine
  • Oleksandr Yudin Educational and Scientific Institute of Information Security and strategic communications of the Security Service of Ukraine
  • Yuliia Koliadenko Kharkiv National University of Radio Electronics, Kharkov, Ukraine
  • V Yeroshenko Kharkiv National University of the Air Force named after I. Kozheduba, Kharkiv, Ukraine

DOI:

https://doi.org/10.18372/2310-5461.61.18513

Keywords:

accessibility, concealment of confidential information, video images, telecommunication systems, compression of video data-containers, steganographic methods, statistical redundancy, spectral-parametric description of fragments

Abstract

It is shown that trends in the development of information technologies for processing, coding and data transmission relate to the growing attractiveness of wireless infocommunication systems and networks. In modern conditions, such technologies are used to organize information support using unmanned ground-based and air-based systems. The significance of the use of wireless telecommunication technologies for the organization of management processes in crisis conditions is substantiated. The article substantiates an approach for constructing a technology for compression of fragments-containers using a preliminary transformation, which is based on: the formation of two constituent arrays of spectral components (ASC), namely: the vector of gradations of spectral space and the scale of spectral intervals; coding of the low-frequency component of the transformant based on taking into account statistical dependencies in the differential space. It is stated that this allows: to adapt to the structure of ASC, taking into account the different concentration of high-frequency components in fragments of video sequences and the different level of the quantization factor; identify additional structural patterns in the ASC; localize statistical redundancy due to the presence of correlation between adjacent fragments in the spectral-parametric description; reduce redundancy caused by the presence of uneven distribution of low-frequency components, create conditions for the use of parallel coding technology. A technology for encoding the scale of spectral intervals of spectral-parametric description ASC is being created. It is based on breaking down the ASC into two components: the length of the first sequence of non-significant elements; A sub-vector that consists of elements on a scale of spectral intervals with the exception of the first and last sequence of non-significant elements. It is proved that this allows: to identify additional structural regularities; localize statistical redundancy, create conditions for concealing confidential information using steganographic methods. The stages of the method of monotonic coding of a significant subvector of the scale of spectral intervals are described.

Author Biographies

Oleksandr Yudin, Educational and Scientific Institute of Information Security and strategic communications of the Security Service of Ukraine

Doctor of Technical Sciences, Professor.

Yuliia Koliadenko, Kharkiv National University of Radio Electronics, Kharkov, Ukraine

Doctor of Technical Sciences, Professor.

V Yeroshenko, Kharkiv National University of the Air Force named after I. Kozheduba, Kharkiv, Ukraine

Candidate of Technical Sciences

References

Бараннік В.В., Бабенко Ю.М., Бараннік В.В., Колесник В.О. Метод кодування значимих за впливом на семантичну цілісність відеосегментів для забезпечення доступності. Наукоємні технології. 2022. № 2 (54). С. 118 – 126. DOI: https://doi.org/10.18372/2310-5461.54.16749.

Odarchenko R., Gnatyuk V., Gnatyuk S., Abakumova A. Security key indicators assessment for modern cellular networks. System Analysis & Intelligent Computing (SAIC): proceedings of the IEEE First International Conference, 2018. P 1-7. https://doi.org/10.1109/SAIC.2018.8516889.

Козловський В., Савченко А., Толстікова О., 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.

Одарченко Р., Іванова М., Рябенко 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.

Huang, S.-Y. Juan A.-h. Lo, J.S.-T. XOR-Based Meaningful (n, n) Visual Multi-Secrets Sharing Schemes. Applied Sciences, MDPI. 2022. Vol. 12, iss. 20. Id. 10368. P. 1-22. DOI: 10.3390/app122010368.

U. Zia, M. McCartney, B. Scotney 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: 10.1007/s10207-022-00588-5.

X. Cao, Y. Huang, H.-T. Wu, Y.-m. Cheung Content and Privacy Protection in JPEG Images by Reversible Visual Transformation. Applied Sciences, MDPI. 2020. Vol. 10, iss. 19. Id. 6776. P. 1-12. DOI: 10.3390/app10196776.

A. Latif, Z. Mehrnahad A Novel Image Encryption Scheme Based on Reversible Cellular Automata. Journal of Electronic & Information Systems. 2019. Vol. 1, iss. 1. P. 18-25. DOI: 10.30564/jeisr.v1i1.1078.

Valerii Barannik, Technology of Structural-Binomial Coding to Increase the Efficiency of the Functioning of Computer Systems, 2022 IEEE 4th International Conference on Advanced Trends in Information Theory (ATIT), Kyiv, Ukraine, 2022, pp. 96-100, doi: 10.1109/ATIT58178.2022.10024205.

Бараннік В.В., Ігнатьев А.А., Бабенко Ю.М., Бараннік В.В., Сидченко Е.С. Технологія компонувального кодування мікросегментів для підвищення безпеки відеоресурсів в інфокомунікаційних системах. Безпека інформації. 2020. №3. С. 181 – 190.

T. Belikova and S. Sidchenko, "The Method Drawing up the Text with the Set Suggestive Orientation to Create a Hidden Channel," 2022 IEEE 4th International Conference on Advanced Trends in Information Theory (ATIT), Kyiv, Ukraine, 2022, pp. 106-110, doi: 10.1109/ATIT58178.2022.10024206.

Babenko Y., Barannik V., Barannik V., Khimenko A., Kulitsa O., Matviichuk-Yudina O. 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.

Chen T.-H., Wu Ch.-S. Efficient multi-secret image sharing based on Boolean operation. Signal Processing. 2011. Vol. 91, Iss. 1. P. 90–97. DOI: 10.1016/j.sigpro.2010.06.012.

R. Onyshchenko, A. Krasnorutsky, D. Barannik, and V. Barannik, "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.

V. Kolesnyk, A. Berchanov, A. Krasnorutsky, V. Barannik, N. Kharchenko and O. Malko, "Method of Structural-Statistical Coding of Video Segments in Spectral-Cluster Space," 2022 IEEE 4th International Conference on Advanced Trends in Information Theory (ATIT), Kyiv, Ukraine, 2022, pp. 32-37, doi: 10.1109/ATIT58178.2022.10024240.

Barannik V., Tarasenko D. Method coding efficiency segments for information technology processing video. Problems of Infocommunications. Science and Technology (PIC S&T): proceedings of 4th International Scientific-Practical Conference. (Kharkov, Ukraine, October 10-13, 2017), Kharkov, 2017. Р. 551-555. DOI: 10.1109/INFOCOMMST.2017.8246460.

Hsu W.-L., Tsai Ch.-L., Chen Ch.-J., Multi-morphological image data hiding based on the application of Rubik's cubic algorithm. Carnahan Conference on Security Technology (ICCST): proceedings of the IEEE International Conference. 2012. P. 135–139. DOI: 10.1109/CCST.2012.6393548.

R. Onyshchenko, O. Slobodyanyuk, A. Krasnorutsky, V. Bezruk, V. Kolesnyk and S. Podlesny, "Approach to Coding with Improved Integrity of Video Information for Transmission in Wireless Infocommunication Networks," 2022 IEEE 4th International Conference on Advanced Trends in Information Theory (ATIT), Kyiv, Ukraine, 2022, pp. 38-42, doi: 10.1109/ATIT58178.2022.10024245.

Information technology – JPEG 2000 image coding system: Secure JPEG 2000. International Standard ISO/IEC 15444-8, ITU-T Recommendation T.807, 2007. 108 p.

Qi X., Minemura K., Moayed Z., Wong K., Tanaka K. JPEG image scrambling without expansion in bitstream size. Image Processing: proceedings of the 19 th IEEE International Conference, 2012. P. 261–264. https://doi.org/10.1109/ICIP.2012.6466845.

Barannik V., Babenko Y., Barannik V., Kolesnyk V., Zhuikov D. "Method Taking into Account Level of Structural and Statistical Saturation of Video Segments in the Coding Process," 2022 IEEE 4th International Conference on Advanced Trends in Information Theory (ATIT), Kyiv, Ukraine, 2022, pp. 66-71, doi: 10.1109/ATIT58178.2022.10024193.

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.

V. Barannik, S. Sidchenko, D. Barannik and O. Ignatyev, "The Concept Of Creating A Complex Cryptocompression Image Protection System In Infocommunications," 2022 IEEE 4th International Conference on Advanced Trends in Information Theory (ATIT), Kyiv, Ukraine, 2022, pp. 101-105, doi: 10.1109/ATIT58178.2022.10024210.

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.

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.

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.

Barannik, V. et al. (2023). Processing Marker Arrays of Clustered Transformants for Image Segments. 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_25.

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

Онищенко Р., Бараннік В.В., Шульгін С.С., Ушань В., Ігнатьєв О. Модель інформативного опису спектрального простору відеосегментів діагонально нерівномірною текстурою. Наукоємні технології. 2022. № 4 (56). С. 259 – 267. DOI: https://doi.org/ 10.18372/2310-5461.56.17124.

Barannik, V., Hahanova, I., Kulbakova, N. “Dynamic coding of transforms of the images in two - level polyadic space,” 2008 International Conference on “Modern Problems of Radio Engineering, Telecommunications and Computer Science” (TCSET), 2008, pp. 320–325.

Published

2024-04-29

Issue

Section

Electronics, telecommunications and radio engineering