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<!DOCTYPE article PUBLIC "-//NLM//DTD JATS (Z39.96) Journal Publishing DTD v1.2 20190208//EN" "http://jats.nlm.nih.gov/publishing/1.2/JATS-journalpublishing1.dtd">
<article article-type="research-article" dtd-version="1.2" xml:lang="ru" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"><front><journal-meta><journal-id journal-id-type="issn">2518-1092</journal-id><journal-title-group><journal-title>Research result. Information technologies</journal-title></journal-title-group><issn pub-type="epub">2518-1092</issn></journal-meta><article-meta><article-id pub-id-type="doi">10.18413/2518-1092-2026-11-2-0-1</article-id><article-id pub-id-type="publisher-id">4251</article-id><article-categories><subj-group subj-group-type="heading"><subject>INFORMATION SYSTEM AND TECHNOLOGIES</subject></subj-group></article-categories><title-group><article-title>&lt;strong&gt;A METHOD OF INFORMATION STEGANOGRAPHIC HIDING&amp;nbsp;IN THE IMAGE DETAILED AREAS BASED&amp;nbsp;ON PSEUDORANDOM EMBEDDING&lt;/strong&gt;</article-title><trans-title-group xml:lang="en"><trans-title>&lt;strong&gt;A METHOD OF INFORMATION STEGANOGRAPHIC HIDING&amp;nbsp;IN THE IMAGE DETAILED AREAS BASED&amp;nbsp;ON PSEUDORANDOM EMBEDDING&lt;/strong&gt;</trans-title></trans-title-group></title-group><contrib-group><contrib contrib-type="author"><name-alternatives><name xml:lang="ru"><surname>Krivchikova</surname><given-names>Anastasia Sergeyevna</given-names></name><name xml:lang="en"><surname>Krivchikova</surname><given-names>Anastasia Sergeyevna</given-names></name></name-alternatives><email>1855159@bsuedu.ru</email></contrib><contrib contrib-type="author"><name-alternatives><name xml:lang="ru"><surname>Bolgova</surname><given-names>Evgeniya Vitalievna</given-names></name><name xml:lang="en"><surname>Bolgova</surname><given-names>Evgeniya Vitalievna</given-names></name></name-alternatives><email>Bolgova_e@bsuedu.ru</email></contrib><contrib contrib-type="author"><name-alternatives><name xml:lang="ru"><surname>Chernomorets</surname><given-names>Andrey Alekseevich</given-names></name><name xml:lang="en"><surname>Chernomorets</surname><given-names>Andrey Alekseevich</given-names></name></name-alternatives><email>Chernomorets@bsu.edu.ru</email></contrib><contrib contrib-type="author"><name-alternatives><name xml:lang="ru"><surname>Yaduta</surname><given-names>Anna Zaurovna</given-names></name><name xml:lang="en"><surname>Yaduta</surname><given-names>Anna Zaurovna</given-names></name></name-alternatives></contrib></contrib-group><pub-date pub-type="epub"><year>2026</year></pub-date><volume>11</volume><issue>2</issue><fpage>0</fpage><lpage>0</lpage><abstract xml:lang="ru"><p>This article is devoted to the development of a method of the information steganographic hiding in the image detailed areas based on pseudorandom embedding. Detailed image areas are characterized by a significant number of small objects. Hiddenly embedded information in such areas is less visually noticeable. To search the detailed areas in a grayscale image, an algorithm based on threshold processing of gradient values calculated using the Sobel operator is proposed. The pseudorandom embedding method is used to embed information in bit form into selected detailed areas of the source image. To embed data in color images, the developed method is applied to selected color components. Computational experiments were conducted to verify the operability of the developed method. The resulting container images containing the data, which were embedded based on the developed method, visually practically did not differ from the original images. The data extracted from the container images matched the embedded data. The performed computational experiments demonstrated a high degree of secrecy of data embedding based on the developed method, and also illustrated that the developed method has an advantage in the secrecy of data embedding in selected source images compared to the analyzed known methods.</p></abstract><trans-abstract xml:lang="en"><p>This article is devoted to the development of a method of the information steganographic hiding in the image detailed areas based on pseudorandom embedding. Detailed image areas are characterized by a significant number of small objects. Hiddenly embedded information in such areas is less visually noticeable. To search the detailed areas in a grayscale image, an algorithm based on threshold processing of gradient values calculated using the Sobel operator is proposed. The pseudorandom embedding method is used to embed information in bit form into selected detailed areas of the source image. To embed data in color images, the developed method is applied to selected color components. Computational experiments were conducted to verify the operability of the developed method. The resulting container images containing the data, which were embedded based on the developed method, visually practically did not differ from the original images. The data extracted from the container images matched the embedded data. The performed computational experiments demonstrated a high degree of secrecy of data embedding based on the developed method, and also illustrated that the developed method has an advantage in the secrecy of data embedding in selected source images compared to the analyzed known methods.</p></trans-abstract><kwd-group xml:lang="ru"><kwd>steganographic hiding</kwd><kwd>digital images</kwd><kwd>detailed areas</kwd><kwd>gradient</kwd><kwd>pseudorandom embedding</kwd><kwd>embedding stealth</kwd></kwd-group><kwd-group xml:lang="en"><kwd>steganographic hiding</kwd><kwd>digital images</kwd><kwd>detailed areas</kwd><kwd>gradient</kwd><kwd>pseudorandom embedding</kwd><kwd>embedding stealth</kwd></kwd-group></article-meta></front><back><ref-list><title>Список литературы</title><ref id="B1"><mixed-citation>1. Sheloukhin O.I., Kanaev S.D. Steganography. Algorithms and Software Implementation. &amp;ndash; Moscow: Goryachaya Liniya. 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