Abstract
The article deals with the problem of masking hidden messages under natural noise in highly undetectable stegosystems ±1HUGO and ⊕HUGO. To ensure high resistance of stegosystems to hacking, a preliminary discrete chaotic transformation of a hidden message is performed using the Arnold cat algorithm. Further, in their research, the authors effectively apply noise-resistant coding for the covering object and stego using a self-orthogonal noise-resistant code. To model the data transmission channel, a model of a binary synchronous communication channel with interference is used. The article also presents the results of simulation modeling, confirming the high resistance of the proposed stegosystems to hacking.
REFERENCES
Amirtharajan, R., Akila, R., and Deepikachowdavarapu, P., Comparative analysis of image steganography, Int. J. Comput. Appl., 2010, vol. 2, no. 3, pp. 41–47.
Muttoo, S. K., and Kumar, S., A multilayered secure, robust and high capacity image steganographic algorithm, World Comput. Sci. Inf. Technol. J., 2011, vol. 1, no. 5, pp. 239–246.
Zolotarev, V.V. and Ovechkin, G.V., High-speed Viterbi decoder based on graphic processors, Materialy Vserossiiskoi nauchn.-tekh. konf. Intellektual’nye i informatsionnye sistemy (Proc. All-Russian Sci.-Tech. Conf. on Intelligent and Information Systems), Tula, 2016, pp. 7–10.
Zolotarev, V.V., Zubarev, Yu.B., and Ovechkin, G.V., Mnogoporogovye dekodery i optimizatsionnaya teoriya kodirovaniya (Multithreshold Decoders and Optimization Theory of Coding), Moscow: Goryachaya Liniya–Telekom, 2012.
Kustov, V. and Silanteva, E., ± 1Highly undetectable stegosystem model using digital still images, 43rd Int. Conf. on Telecommunications and Signal Processing (TSP), Milan, 2020, IEEE, 2020, pp. 6–9. https://doi.org/10.1109/TSP49548.2020.9163587
Zolotarev, V.V. and Ovechkin, G.V., Pomekhoustoichivoe kodirovanie. Metody i algoritmy. Spravochnik (Noise Immune Coding: Methods and Algorithms: Reference Book), Zubarev, Yu.B., Ed., Moscow: Goryachaya Liniya–Telekom, 2004.
Kustov, A.G. and Krasnov, A.G., Software model of a highly undetectable stegosystem—⊕HUGO model, J. Phys.: Conf. Ser., 2020, vol. 1703, p. 012017. https://doi.org/10.1088/1742-6596/1703/1/012017
Author information
Authors and Affiliations
Corresponding author
Ethics declarations
The authors declare that they have no conflicts of interest.
About this article
Cite this article
Kustov, V.N., Krasnov, A.G. Noise-Resistant Coding and Highly Undetectable Stegosystems – Is the Alliance Successful?. Aut. Control Comp. Sci. 56, 1007–1015 (2022). https://doi.org/10.3103/S0146411622080107
Received:
Revised:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.3103/S0146411622080107