Method of maintainance of semantic integrity of videoresource is in the infocommunication systems

Authors

  • Юрій Михайлович Бабенко Kyiv National University named after Taras Shevchenko

DOI:

https://doi.org/10.18372/2310-5461.48.15088

Keywords:

videoresources, integrity of information, compression encoding, areas of coherentness

Abstract

The presence of meaningful disbalance is grounded between the carrying capacities of modern infocommunication technologies and informative intensity of bit streams. Establishment is conducted that now base conception for the construction of technologies of compression presentation is a platform of JPEG. In accordance with what, it is suggested to organize further development of methods of treatment of videoresources with the use of separate component of platform of JPEG in the direction of increase of integrity of information in the conditions of providing of the required level of its availability. Development of method of exposure of meaningful segments is expounded from position of maintainance of semantic integrity of videoresource on the basis of the use of the system governed for a decision-making on information about structural-kombinatornayaproperties of mikrosegment on the brightness constituent of presentation of videoshot. System governed on authentication of segments of videoshot built taking into account the degree of their meaningfulness from position of maintainance of necessary level of integrity of objects of interest taking into account informative meaningfulness of local areas of videoshot, characterized greater homogeneity of the structural-kombinatornayaproperties. The need to create a system of comparison of indicators to estimate the amount of structural and statistical informativeness of micro-segments of images is shown. This allows one of three types of micro-segments to be identified. On the basis of which the system of rules of detection of the class of the entire segment of the video frame is based. It takes into account the importance of preserving the semantic and syntax integrity of the video frame. This makes it possible to establish with greater adequacy the informational role of each segment of the video from the point of view of its information and weight contribution to the preservation of semantic integrity and to reduce delays in processing (identification). At the same time, the informational significance of the segment takes into account its saturation with structural characteristics, which are components of objects of interest. Experimental assessments have been made of the total time delays in processing and transmitting video information in information communication systems, while maintaining the required level of reliability. The advantages of the created method are shown regarding existing methods of coding video frames using the JPEG platform.

References

Kobayashi, H. and Kiya, H. (2018) Bitstream-Based JPEG Image Encryption with File-Size Preserving. In.: IEEE 7th Global Conference on Consumer Electronics (GCCE), pp. 1-4. DOI: 10.1109/gcce.2018.8574605.

Barannik, V., Krasnoruckiy, A. and Hahanova, A. (2013) The positional structural-weight coding of the binary view of transformants. In: East-West Design & Test Symposium (EWDTS), pp. 1-4. Rostov-on-Don. DOI: 10.1109/EWDTS.2013.6673178.

Announcing the ADVANCED ENCRYPTION STANDARD (AES). (2001). Federal Information Processing Standards Publication, 197.

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. (2013) Bitstream-based JPEG Encryption in Real-time. In.: International Journal of Digital Crime and Forensics. DOI: 10.4018/jdcf.2013070101.

Faraoun, K.M. (2014). A parallel block-based encryption schema for digital images using reversible cellular automata. Engineering Science and Technology, Vol. 17, pp. 85–94. DOI: 10.1016/j.jestch.2014.04.001.

Minemura, K. and Moayed, Z. and Wong, K. and Qi, X. and Tanaka, K. (2012) JPEG image scrambling without expansion in bitstream size. In.: 19th IEEE International Conference on Image Processing, pp. 261-264. DOI: 10.1109/ICIP.2012.6466845.

Naor, M. and Shamir, A. (1995) Visual Cryptography. In: Proceedings of the Advances in Cryptology – EUROCRYPT’94. Lecture Notes in Computer Science, Vol. 950, pp. 1-12. DOI: 10.1007/bfb0053419.

Phatak, A. (2016) 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. DOI: 10.5815/ijigsp.2016.06.08.

Ramakrishnan, S. et al. (2018) Cryptographic and Information Security Approaches for Images and Videos. CRC Press, 962 p. DOI: 10.1201/9780429435461.

Rivest, R.L. and Shamir, A. and Adleman L.M. (1978) A method for obtaining digital signatures and public-key cryptosystems. Communications of the ACM, (2) 21, pp. 120–126.

Sharma, R. and Bollavarapu, S. (2015) Data Security using Compression and Cryptography Techniques. International Journal of Computer Applications, Vol. 117, No. 14, pp. 15-18. DOI: 10.5120/20621-3342.

Vasiliev, V.B. and Okov, I.N. and Strezhik, Yu.N. and Ustinov, A.A. and Shvetsov, N.V. (2016) Video data compression and protection in UAV information exchange radio channels. In.: Scientific and practical conference on Prospects for the development and use of complexes with unmanned aerial vehicles, 924 State Center for Unmanned Aviation of the Ministry of Defense of the Russian Federation, pp. 202–204.

Barannik, V. and Barannik, N. and Ryabukha, Yu. and Barannik, D. (2020) 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. DOI: 10.1109/TCSET49122.2020.235522.

Barannik, V. and Barannik, V. (2020) 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. DOI: 10.1109/TCSET49122.2020.235540.

Barannik V.V., Ryabukha Yu. N., Tverdokhleb V.V., Barannik D.V. (2017) 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. DOI: 10.1109 / AIACT.2017.8020096.

Vladimir Barannik, Tatyana Belikova, Pavlo Gurzhii. (2019) The model of threats to information and psychological security, taking into account the hidden information destructive impact on the subconscious of adolescents. 2019 IEEE International Conference on Advanced Trends in Information Theory (ATIT), pp. 656 – 661. DOI: 10.1109/ATIT49449.2019.9030432.

Vladimir Barannik, Denys Tarasenko. (2017) Method coding efficiency segments for information technology processing video. 2017 4th International Scientific-Practical Conference Problems of Infocommunications. Science and Technology (PIC S&T), pp. 551-555. DOI: 10.1109/INFOCOMMST.2017.8246460.

Barannik, V.V. and Ryabukha, Yu.N. and Kulitsa, О.S. (2017) 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. DOI: 10.1615/TelecomRadEng.v76.i9.40.

Farajallah, M. (2015) Chaos-based crypto and joint crypto-compression systems for images and videos Available via. URL: https://hal.archives-ouvertes.fr/tel-01179610. (access date 21.10.2020)

Gonzalez, R. and Woods, R. (2018) Digital Image Processing. Published by Pearson, 1168 p.

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

JPEG Privacy & Security Abstract and Executive Summary. (2015) Available via JPEG.ORG. URL: https://jpeg.org/items/ 20150910_privacy_security_summary.html. (access date 21.10.2020)

Vladimir.V. Barannik, M.P. Karpinski, V.V. Tverdokhleb, Dmitry.V. Barannik, V.V. Himenko, Marek Aleksander (2018)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. (2007) Data Compression: The Complete Reference. Springer Science & Business Media, 1092 p.

Chen, Ch.-Ch. and Wu, W.-J. (2014) A secure Boolean-based multi-secret image sharing scheme. Journal of Systems and Software, Vol. 92, pp. 107-114. DOI: 10.1016/j.jss.2014.01.001.

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

Deshmukh, M. and Nain, N. and Ahmed, M. (2016) 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. DOI: 10.1109/aina.2016.56.

Dufaux, F. and Ebrahimi, T. (2006) Toward a Secure JPEG. Applications of Digital Image Processing XXIX, Vol. 6312. DOI: 10.1117/12.686963.

Honda, T. and Murakami, Y. and Yanagihara, Y. and Kumaki, T. and Fujino, T. (2013) 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. DOI: 10.1109/MWSCAS.2013.6674911.

Ji, Sh. and Tong, X. and Zhang, M. (2012) Image encryption schemes for JPEG and GIF formats based on 3D baker with compound chaotic sequence generator Available via arXiv preprint. arXiv:1208.0999.

Vladimir Barannik, Valeriy Barannik, Dmytro Havrylov, Anton Sorokun. (2019) 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. DOI: 10.1109/AIACT.2019.8847897.

Vladimir Barannik, Dmitry Barannik, Vadym Fustii, Maksym Parkhomenko (2019) 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 (2016) 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 DOI: 10.1109/TCSET.2016.7452133.

Tsai, Ch.-L. and Chen, Ch.-J. and Hsu, W.-L. (2012) 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. DOI: 10.1109/CCST.2012.6393548.

Wong, K.-W. (2009) Image encryption using chaotic maps. Intelligent Computing Based on Chaos, Vol. 184, pp. 333–354. DOI: 10.1007/978-3-540-95972-4_16.

Wong, K. and Tanaka, K. (2010) DCT based scalable scrambling method with reversible data hiding functionality. In.: 4th International Symposium on Communications, Control and Signal Processing (ISCCSP), pp. 1-4. DOI: 10.1109/ISCCSP.2010.5463307.

Wu, Yu, and Agaian, S. and Noonan, J. (2012) Sudoku Associated Two Dimensional Bijections for Image Scrambling. In.: IEEE Transactions on multimedia, 30 p. Available via arXiv preprint. DOI: arXiv:1207.5856v1.

Yang, Ch.-N. and Chen, Ch.-H. and Cai, S.-R. (2016) Enhanced Boolean-based multi secret image sharing scheme. Journal of Systems and Software, Vol. 116, pp. 22-34. DOI: 10.1016/j.jss.2015.01.031.

Yang, Y. and Zhu, B.B. and Li, S. and Yu1, N. (2008) 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. DOI: 10.1155/2007/56365.

Yuan, L. and Korshunov, P. and Ebrahimi T. (2015) 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. DOI: 10.1109/FG.2015.7285022.

Zhou, Y. and Panetta, K. and Agaian, S. and Chen, C.L.P. (2012) Image encryption using P-Fibonacci transform and decomposition. Optics Communications, Vol. 285, Iss. 5, pp. 594-608. DOI: 10.1016/j.optcom.2011.11.044

Issue

Section

Electronics, telecommunications and radio engineering