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Cybernetics and programming
Reference:

Steganographic method of embedding information using a noise-like sequence and preserving the statistical model of images
Baltaev Rodion Khamzaevich

PhD in Technical Science

Senior Lecturer, Department of Radio Electronics and Information Protection, Perm State National Research University

614990, Russia, Permskii krai, g. Perm', ul. Bukireva, 15

rodion-baltaev@yandex.ru
Другие публикации этого автора
 

 
Lunegov Igor' Vladimirovich

PhD in Physics and Mathematics

Associate Professor at the Department of Radioelectronics and Information Protection of Perm State University

614990, Russia, Perm, ul. Bukireva, 15

lunegov@psu.ru
Другие публикации этого автора
 

 

Abstract.

The subject of research is the steganographic method of embedding information in digital images. Steganography is capable of hiding not only the content of information, but also the very fact of its existence. The paper considers one of the most important problems in the development of steganographic methods - the secrecy of the transfer of protected information. Stealth is not only visual or auditory indistinguishability of a digital media resource from a media resource with embedded information, but also statistical indistinguishability. Special attention is paid to preserving the spatial statistical dependence between the image pixels. The methodological basis of the research is the methods of mathematical statistics and image processing theory, as well as image distortion metrics. The novelty of the research lies in the development of a new method of embedding information in static images. The authors consider in detail the problem of applying the moving average autoregression process to represent the statistical dependence of image pixels. It is shown that the proposed method allows you to embed information into digital images without significant distortion.

Keywords: information embedding algorithm, digital images, CIEDE2000, hidden communication, information security, image processing, ARMA, steganography, autoregression process, image distortion

DOI:

10.25136/2306-4196.2018.5.27634

Article was received:

11-10-2018


Review date:

11-10-2018


Publish date:

25-11-2018


This article written in Russian. You can find full text of article in Russian here .

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