DEVELOPMENT OF THE METHOD OF INDIRECT STEGANOGRAPHIC DATA HIDING IN THE CONTAINER IMAGE CONTOUR

Volodymyr Barannik

vvbar/off@gmail.com
Ivan Kozhedub Kharkiv National University of Air Force, Faculty of Automated control systems and aviation ground support (Ukraine)
http://orcid.org/0000-0002-2848-4524

Oleg Shatun


Ivan Kozhedub Kharkiv National University of Air Force, Faculty of Automated control systems and aviation ground support (Ukraine)
http://orcid.org/0000-0002-5323-2580

Dmitriy Barannik


Kharkiv National University of Radio Electronics, Department of information and network engineering (Ukraine)
http://orcid.org/0000-0002-7074-9864

Veronika Kobtseva


Kharkiv National University of Radio Electronics, Department of information and network engineering (Ukraine)
http://orcid.org/0000-0002-0914-5156

Abstract

The article discusses issues related to the use of methods of digital steganography for information security in systems of critical appointment. The advantages of using data embedding in an image container are shown. The main disadvantages of the existing methods of embedding in the image container are given. The issues of JPEG image compression for digital steganography are described. The allocation of stable regions in the attacking effects on the basis of the moving mask is proposed. The mathematical apparatus for masking images by the Sobel method is shown. The indirect steganography method of hiding data in blocks which contain information about the circuit is developed.


Keywords:

image-container, image contour, discrete cosine transformation, indirect method

Ablamejko S., Lagunovskij D.: Obrabotka izobrazhenij: teh-nologija, metody, primenenie. Amalfeja, Minsk 2000.
  Google Scholar

Barannik V. V., Alimpiev A. M., Bekirov A., Barannik D. V., Barannik N. D.: Detections of sustainable areas for steganographic embedding. Proc. East-West Design & Test Symposium (EWDTS), 2017, 555–558 [doi: 10.1109/EWDTS.2017.8110028].
  Google Scholar

Barannik V., Barannik D., Bekirov A., Lekakh A.: Steganographic method based on the modification of regions of the image with different saturation. Proc of 14th International Conference: Advanced Trends in Radioelecrtronics, Telecommunications and Computer Engineering, 2018, 542–545 [doi: 10.1109/TCSET.2018.8336260].
  Google Scholar

Barannik V., Krasnorutsky A., Larin V., Hahanova A., Shulgin S.: Model of syntactic representation of aerophoto images segments. Proc of. XVI-th Intern. conf.: Modern Problems of Radio Engineering, Telecommunications and Computer Science, 2018, 974–977 [doi: 10.1109/TCSET.2018.8336356].
  Google Scholar

Christophe E., Lager D., Mailhes C.: Quality criteria benchmark for hiperspectral imagery. IEEE Transactions on Geoscience and Remote Sensing 43(9), 2005, 2103–2114.
  Google Scholar

Gonzalez R., Woods R.: Tsyfrova obrobka zobrazhen. Tekhnosfera, Kiev 2018.
  Google Scholar

Gribunin V., Okov I., Turincev I.: Tsifrovaya steganografiya. Solon-Press, Moscow 2018.
  Google Scholar

Grundmann M., Kwatra V., Han M., Essa I.: Efficient hierarchical graph based video segmentation. IEEE CVPR, 2010.
  Google Scholar

Konakhovich G. M, Puzyrenko A.: Computernaya steganographiya. Teoriya i praktika. To Press, Kiev 2016.
  Google Scholar

Melnik A. M.: Informatsiyni systemy ta merezhi. Bulletin “Lviv Polytechnic” 673, 2010, 365–374.
  Google Scholar

Miano J.: Compressed image file formats: JPEG, PNG, GIF, XBM, BMP. Addison-Wesley Professional, New York 1999.
  Google Scholar

Miano J.: Formats and image compression algorithms in action. Triumph, Kiev 2013.
  Google Scholar

Pratt W., Chen W., Welch L.: Slant transform image coding. Proc. Computer Processing in Communications. Polytechnic Press, New York 1969.
  Google Scholar

Sindeev M., Konushin A., Rother C.: Alpha-flow for video matting. Technical Report, 2012.
  Google Scholar

Stankiewicz O., Wegner K., Karwowski D., Stankowski J., Klimaszewski K., Grajek T.: Encoding mode selection in HEVC with the use of noise reduction. Proc. International Conference on Systems, Signals and Image Processing (IWSSIP), Poznan, 2017, 1–6.
  Google Scholar

Wallace G.: Overview of the JPEG (ISO/CCITT) – Still image compression: image processing algorithms and techniques. Processing of the SPIE 1244, 1990, 220–233.
  Google Scholar

Wallace G.: The JPEG Still Picture Compression Standard. Communication in ACM 34(4), 1991, 31–34.
  Google Scholar

Wang S., Zhang X., Liu X., Zhang J., Ma S., Gao W.: Utility-Driven Adaptive Preprocessing for Screen Content Video Compression. IEEE Transactions on Multimedia 19(3), 2017, 660–667.
  Google Scholar

Yudin O., Boiko Y., Frolov O.: Organization of decision support systems for crisis management. Second International Scientific-Practical Conference Problems of Infocommunications Science and Technology (PIC S&T), 2015, 115–117 [doi; 10.1109/INFOCOMMST.2015.7357287].
  Google Scholar

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Published
2018-12-16

Cited by

Barannik, V., Shatun, O., Barannik, D., & Kobtseva, V. (2018). DEVELOPMENT OF THE METHOD OF INDIRECT STEGANOGRAPHIC DATA HIDING IN THE CONTAINER IMAGE CONTOUR. Informatyka, Automatyka, Pomiary W Gospodarce I Ochronie Środowiska, 8(4), 20–23. https://doi.org/10.5604/01.3001.0012.8016

Authors

Volodymyr Barannik 
vvbar/off@gmail.com
Ivan Kozhedub Kharkiv National University of Air Force, Faculty of Automated control systems and aviation ground support Ukraine
http://orcid.org/0000-0002-2848-4524

Authors

Oleg Shatun 

Ivan Kozhedub Kharkiv National University of Air Force, Faculty of Automated control systems and aviation ground support Ukraine
http://orcid.org/0000-0002-5323-2580

Authors

Dmitriy Barannik 

Kharkiv National University of Radio Electronics, Department of information and network engineering Ukraine
http://orcid.org/0000-0002-7074-9864

Authors

Veronika Kobtseva 

Kharkiv National University of Radio Electronics, Department of information and network engineering Ukraine
http://orcid.org/0000-0002-0914-5156

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