METHOD OF STEGANOGRAPHIC TRANSFORMATION OF WEB-DOCUMENTS BASED ON RASTER GRAPHICS AND RGB MODEL

UDC 004.56+003.26

  • Saveleva Margarita Gennadievna − PhD student, the Department of Information Systems and Technologies. Belarusian State Technological University. (13a, Sverdlova str., 220006, Minsk, Republic of Belarus). E-mail: saveleva@belstu.by

  • Urbanovich Pavel Pavlovich − DSc (Engineering), Professor, Professor, the Department of Information Sistems and Technologies. Belarusian State Technological University (13a, Sverdlova str., 220006, Minsk, Republic of Belarus). E-mail: p.urbanovich@belstu.by

Key words: steganography, copyright, image, precipitation, algorithm, color, spatial domain.

For citation: Saveleva M. G., Urbanovich P. P. Method of steganographic transformation of webdocuments based on raster graphics and RGB model. Proceedings of BSTU, issue 3, Physics and Mathematics. Informatics, 2022, no. 2 (260), pp. 99–107 (In Russian). DOI: https://doi.org/10.52065/2520-6141-2022-260-2-99-107.

Abstract

The method and algorithms of steganographic transformation implementing it, using elements of a web application based on raster graphics as a container, are presented. The image pixel acts as the base element of the container, the color parameters of which are modified in the RGB model when information is deposited. Information is embedded/extracted in pixels having the same value (one of 256) in one or more color channels. The peculiarity of the developed method is that the processes of embedding/extracting information are carried out with a comparative analysis of the values of one or two color coordinates of the base pixel and the pixel for embedding. The number of channels (R, G, B) for selecting pixels and for embedding a message depends on the color characteristics of the image and the length (volume) of the message. In images with a large number of halftones, monochromatic or black-and-white images, it is advisable to select pixels in which the embedding will take place using two color channels. At the same time, it is advisable to use one channel directly to embed information into the selected pixels. In full-color images, you can limit yourself to one channel for selecting pixels. It is impossible to use the same channels for embedding and selecting pixels, since their total number should be no more than three. The throughput of the method depends on the characteristics of the container image.

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25.04.2022