Method for coding positional coordinates of a frame-spline tensor in a mixed poliadic space
DOI:
https://doi.org/10.18372/2310-5461.48.15140Keywords:
dynamic video resource, predicted frame sequence, mixed poliadic coding, frame spline tensorsAbstract
The need to improve the efficiency of the provision of video services for information support systems for the functioning of critical infrastructure facilities, including under conditions of information and cyber attacks from an opposing or competing side, is emphasized. Especially the research problem concerns the delivery of high-resolution dynamic video information resources using mobile infocommunication technologies, both ground-based and aerospace-based. The necessity of increasing the efficiency of the compact syntactic representation of the sequence of B-P frames for information technologies, process and transfer of dynamic video resources is substantiated. The advantages of the approach with respect to coding a sequence of frames of B-P types based on the construction of structural splines and their corresponding frame structures for differentiated blocks of frames in the transformable space are shown. To increase the amount of redundancy that can be potentially eliminated, it is proposed to form a set of frame splines for a dynamic sequence of TD-blocks. In this case, the statistical, psycho-visual and structural redundancy of the video sequence is reduced on the basis of identifying the corresponding patterns, both within frames and between them. The main technological approaches to the creation of a method for efficient coding of positional coordinates of single-element frame-spline tensors of a sequence of B-P frames on the basis of a two-pole mixed poliadic representation are revealed. It is shown that the integration of the created method for encoding a dynamic sequence of predicted video frames into the information technology for processing and transmitting video resources allows to increase its functioning efficiency in terms of such indicators as time delays for bringing video information, the integrity of the video information resource. Therefore, the quality of information support for the functioning of critical infrastructure systems is improved. that the integration of the created method for coding a dynamic sequence of predicted video frames into the information technology for processing and transmitting video resources allows to increase its efficiency in terms of such indicators as time delays for bringing video information, the integrity of the video information resource. Therefore, the quality of information support for the functioning of critical infrastructure systems is improved. that the integration of the created method for encoding a dynamic sequence of predicted video frames into the information technology for processing and transmitting video resources makes it possible to increase its efficiency in terms of such indicators as time delays for bringing video information, the integrity of the video information resource. Therefore, the quality of information support for the functioning of critical infrastructure systems is improvedReferences
Kobayashi, H. and Kiya, H.: Bitstream-Based JPEG Image Encryption with File-Size Preserving. In.: IEEE 7th Global Conference on Consumer Electronics (GCCE), pp. 1-4 (2018) DOI: 10.1109/gcce.2018.8574605
Barannik, V., Krasnoruckiy, A. and Hahanova, A.: The positional structural-weight coding of the binary view of transformants. In: East-West Design & Test Symposium (EWDTS), pp. 1-4. Rostov-on-Don (2013) doi: 10.1109/EWDTS.2013.6673178.
Announcing the ADVANCED ENCRYPTION STANDARD (AES). Federal Information Processing Standards Publication, 197 (2001).
DSTU 7624:2014: Information Technology. Cryptographic protection of information. Symmetric block transformation algorithm. Order of the Ministry of Economic Development of Ukraine № 1484 (29.12.2014).
DSTU GOST 28147:2009: Information processing system. Cryptographic protection. Cryptographic transformation algorithm GOST 28147-89 (22.12.2008).
Auer, S. and Bliem, A. and Engel, D. and Uhl, A. and Unterweger, A.: Bitstream-based JPEG Encryption in Real-time. In.: International Journal of Digital Crime and Forensics (2013) DOI: 10.4018/jdcf.2013070101.
Faraoun, K.M. A parallel block-based encryption schema for digital images using reversible cellular automata. Engineering Science and Technology, Vol. 17, pp. 85–94 (2014) DOI: 10.1016/j.jestch.2014.04.001.
Minemura, K. and Moayed, Z. and Wong, K. and Qi, X. and Tanaka, K.: JPEG image scrambling without expansion in bitstream size. In.: 19th IEEE International Conference on Image Processing, pp. 261-264 (2012) DOI: 10.1109/ICIP.2012.6466845.
Naor, M. and Shamir, A.: Visual Cryptography. In: Proceedings of the Advances in Cryptology – EUROCRYPT’94. Lecture Notes in Computer Science, Vol. 950, pp. 1-12 (1995) DOI: 10.1007/bfb0053419.
Phatak, A.: A Non-format Compliant Scalable RSA-based JPEG Encryption Algorithm. International Journal of Image, Graphics and Signal Processing, Vol. 8, No. 6, pp. 64-71 (2016) DOI: 10.5815/ijigsp.2016.06.08.
Ramakrishnan, S. et al.: Cryptographic and Information Security Approaches for Images and Videos. CRC Press, 962 p., (2018) DOI: 10.1201/9780429435461.
Rivest, R.L. and Shamir, A. and Adleman L.M.: A method for obtaining digital signatures and public-key cryptosystems. Communications of the ACM, (2) 21, pp. 120–126 (1978).
Баранник В.В., Гуржий П.Н. Кодирование массивов цветовых координат в разностном полиадическом пространстве. Радіоелектронні і комп’ютерні системи, №1, С. 44 – 49, (2005).
Баранник В.В., Корольова Н.А., Поляков П.Ф. Метод комбинированного полиадического кодирования массивов длин серий. Інформаційно-керуючі системи на залізничному транспорті, №5, С. 42 – 46, (2001).
Barannik, V. and Barannik, N. and Ryabukha, Yu. and Barannik, D.: Indirect Steganographic Embedding Method Based On Modifications of The Basis of the Polyadic System. In.: 15th IEEE International Conference on Modern Problems of Radio Engineering, Telecommunications and Computer Science (TCSET’2020), pp. 699-702 (2020) DOI: 10.1109/TCSET49122.2020.235522.
Barannik, V. and Barannik, V.: Binomial-Polyadic Binary Data Encoding by Quantity of Series of Ones. In.: 15th IEEE International Conference on Modern Problems of Radio Engineering, Telecommunications and Computer Science (TCSET’2020), pp. 775-780 (2020) DOI: 10.1109/TCSET49122.2020.235540.
Barannik V.V., Ryabukha Yu. N., Tverdokhleb V.V., Barannik D.V.: Methodological basis for constructing a method for compressing of transformants bit representation, based on non-equilibrium positional encoding. In: Advanced Information and Communication Technologies (AICT), 2017 2nd International Conference, pp.188-192. (2017). doi: 10.1109 / AIACT.2017.8020096.
Vladimir Barannik, Tatyana Belikova, Pavlo Gurzhii.: The model of threats to information and psychological security, taking into account the hidden information destructive impact on the subconscious of adolescents. In 2019 IEEE International Conference on Advanced Trends in Information Theory (ATIT), pp. 656 – 661 (2019), DOI: 10.1109/ATIT49449.2019.9030432.
Vladimir Barannik, Denys Tarasenko.: Method coding efficiency segments for information technology processing video. In.: 2017 4th International Scientific-Practical Conference Problems of Infocommunications. Science and Technology (PIC S&T), pp. 551-555 (2017), DOI: 10.1109/INFOCOMMST.2017.8246460.
Barannik, V.V. and Ryabukha, Yu.N. and Kulitsa, О.S.: The method for improving security of the remote video information resource on the basis of intellectual processing of video frames in the telecommunication systems. Telecommunications and Radio Engineering, Vol. 76, No 9, pp. 785-797 (2017) DOI: 10.1615/TelecomRadEng.v76.i9.40.
Farajallah, M.: Chaos-based crypto and joint crypto-compression systems for images and videos (2015) Available via https://hal.archives-ouvertes.fr/tel-01179610.
Gonzalez, R. and Woods, R.: Digital Image Processing. Published by Pearson, 1168 p. (2018).
Information technology – JPEG 2000 image coding system: Secure JPEG 2000. International Standard ISO/IEC 15444-8; ITU-T Recommendation T.807, 108 p. (2007).
JPEG Privacy & Security Abstract and Executive Summary (2015) Available via JPEG.ORG. https://jpeg.org/items/ 20150910_privacy_security_summary.html.
Vladimir.V. Barannik; M.P. Karpinski; V.V. Tverdokhleb; Dmitry.V. Barannik; V.V. Himenko; Marek Aleksander The technology of the video stream intensity controlling based on the bit-planes recombination. 2018 IEEE 4th International Symposium on Wireless Systems within the International Conferences on Intelligent Data Acquisition and Advanced Computing Systems (IDAACS-SWS), 20-21 Sept. 2018, Lviv, Ukraine, DOI: 10.1109/IDAACS-SWS.2018.8525560.
Salomon, D.: Data Compression: The Complete Reference. Springer Science & Business Media, 1092 p. (2007).
Chen, Ch.-Ch. and Wu, W.-J.: A secure Boolean-based multi-secret image sharing scheme. Journal of Systems and Software, Vol. 92, pp. 107-114 (2014) DOI: 10.1016/j.jss.2014.01.001.
Chen, T.-H. and Wu, Ch.-S.: Efficient multi-secret image sharing based on Boolean operation. Signal Processing, Vol. 91, Iss. 1, pp. 90-97 (2011) DOI: 10.1016/j.sigpro.2010.06.012.
Deshmukh, M. and Nain, N. and Ahmed, M.: An (n, n)-Multi Secret Image Sharing Scheme Using Boolean XOR and Modular Arithmetic. In.: IEEE 30th International Conference on Advanced Information Networking and Applications (AINA), pp. 690-697 (2016) DOI: 10.1109/aina.2016.56.
Dufaux, F. and Ebrahimi, T.: Toward a Secure JPEG. Applications of Digital Image Processing XXIX, Vol. 6312 (2006) DOI: 10.1117/12.686963.
Honda, T. and Murakami, Y. and Yanagihara, Y. and Kumaki, T. and Fujino, T.: Hierarchical image-scrambling method with scramble-level controllability for privacy protection. In.: IEEE 56th International Midwest Symposium on Circuits and Systems (MWSCAS), pp. 1371-1374 (2013) DOI: 10.1109/MWSCAS.2013.6674911.
Ji, Sh. and Tong, X. and Zhang, M.: Image encryption schemes for JPEG and GIF formats based on 3D baker with compound chaotic sequence generator (2012) Available via arXiv preprint. arXiv:1208.0999.
Vladimir Barannik, Valeriy Barannik, Dmytro Havrylov, Anton Sorokun.: Development Second and Third Phase of the Selective Frame Processing Method. In.: 2019 3rd International Conference on Advanced Information and Communications Technologies (AICT), pp. 54-57 (2019), DOI: 10.1109/AIACT.2019.8847897.
Vladimir Barannik; Dmitry Barannik; Vadym Fustii; Maksym Parkhomenko Evaluation of Effectiveness of Masking Methods of Aerial Photographs. 2019 3rd International Conference on Advanced Information and Communications Technologies (AICT), 2-6 July 2019, Lviv, Ukraine, Ukraine, DOI: 10.1109/AIACT.2019.8847820.
Vladimir Barannik; S.S. Shulgin.: The method of increasing accessibility of the dynamic video information resource. In.: 2016 13th International Conference on Modern Problems of Radio Engineering, Telecommunications and Computer Science (TCSET), pp. 621-623 (2016), DOI: 10.1109/TCSET.2016.7452133.
Tsai, Ch.-L. and Chen, Ch.-J. and Hsu, W.-L.: Multi-morphological image data hiding based on the application of Rubik's cubic algorithm. In.: IEEE International Carnahan Conference on Security Technology (ICCST) pp. 135-139 (2012) DOI: 10.1109/CCST.2012.6393548.
Wong, K.-W.: Image encryption using chaotic maps. Intelligent Computing Based on Chaos, Vol. 184, pp. 333–354 (2009) DOI: 10.1007/978-3-540-95972-4_16.
Wong, K. and Tanaka, K.: DCT based scalable scrambling method with reversible data hiding functionality. In.: 4th International Symposium on Communications, Control and Signal Processing (ISCCSP), pp. 1-4. (2010) DOI: 10.1109/ISCCSP.2010.5463307.
Wu, Yu, and Agaian, S. and Noonan, J.: Sudoku Associated Two Dimensional Bijections for Image Scrambling. In.: IEEE Transactions on multimedia, 30 p. (2012). Available via arXiv preprint. arXiv:1207.5856v1.
Yang, Ch.-N. and Chen, Ch.-H. and Cai, S.-R.: Enhanced Boolean-based multi secret image sharing scheme. Journal of Systems and Software, Vol. 116, pp. 22-34 (2016) DOI: 10.1016/j.jss.2015.01.031.
Yang, Y. and Zhu, B.B. and Li, S. and Yu1, N.: Efficient and Syntax-Compliant JPEG 2000 Encryption Preserving Original Fine Granularity of Scalability. EURASIP Journal on Information Security, Vol. 2007, Article ID 56365, 13 p. (2008) DOI: 10.1155/2007/56365.
Yuan, L. and Korshunov, P. and Ebrahimi T.: Secure JPEG Scrambling enabling Privacy in Photo Sharing. In.: 11th IEEE International Conference and Workshops on Automatic Face and Gesture Recognition (FG) pp. 1-6 (2015) DOI: 10.1109/FG.2015.7285022.
Zhou, Y. and Panetta, K. and Agaian, S. and Chen, C.L.P.: Image encryption using P-Fibonacci transform and decomposition. Optics Communications, Vol. 285, Iss. 5, pp. 594-608 (2012) DOI: 10.1016/j.optcom.2011.11.044