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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">10.18413/2518-1092-2021-6-4-0-6</article-id><article-id pub-id-type="publisher-id">2634</article-id><article-categories><subj-group subj-group-type="heading"><subject>ARTIFICIAL INTELLIGENCE AND DECISION MAKING</subject></subj-group></article-categories><title-group><article-title>&lt;strong&gt;THE STRUCTURE OF INTELLECTUAL INFORMATION TECHNOLOGY OF SUBINTERVAL HIDDEN EMBEDDING INFORMATION INTO IMAGES&lt;/strong&gt;</article-title><trans-title-group xml:lang="en"><trans-title>&lt;strong&gt;THE STRUCTURE OF INTELLECTUAL INFORMATION TECHNOLOGY OF SUBINTERVAL HIDDEN EMBEDDING INFORMATION INTO IMAGES&lt;/strong&gt;</trans-title></trans-title-group></title-group><contrib-group><contrib contrib-type="author"><name-alternatives><name xml:lang="ru"><surname>Ursol</surname><given-names>Denis Vladimirovich</given-names></name><name xml:lang="en"><surname>Ursol</surname><given-names>Denis Vladimirovich</given-names></name></name-alternatives><email>ursoldenis@mail.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>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>Daria Andreevna</given-names></name><name xml:lang="en"><surname>Chernomorets</surname><given-names>Daria Andreevna</given-names></name></name-alternatives><email>daria013ch@yandex.ru</email></contrib></contrib-group><pub-date pub-type="epub"><year>2021</year></pub-date><volume>6</volume><issue>4</issue><fpage>0</fpage><lpage>0</lpage><self-uri content-type="pdf" xlink:href="/media/information/2021/4/IT-6_pM0JAfl.pdf" /><abstract xml:lang="ru"><p>The work is devoted to solving the problem of increasing the level of secrecy of data embedding into images based on the use of artificial intelligence approaches. The proposed structure of intelligent technology for adaptive subinterval hidden embedding of information into images based on the analysis of frequency subinterval properties of images makes it possible to evaluate and change the values of the parameters of the subinterval hidden embedding method from the standpoint of achieving high levels of the embedded information secrecy.</p></abstract><trans-abstract xml:lang="en"><p>The work is devoted to solving the problem of increasing the level of secrecy of data embedding into images based on the use of artificial intelligence approaches. The proposed structure of intelligent technology for adaptive subinterval hidden embedding of information into images based on the analysis of frequency subinterval properties of images makes it possible to evaluate and change the values of the parameters of the subinterval hidden embedding method from the standpoint of achieving high levels of the embedded information secrecy.</p></trans-abstract><kwd-group xml:lang="ru"><kwd>hidden embedding</kwd><kwd>container image</kwd><kwd>subinterval matrices</kwd><kwd>eigenvectors</kwd><kwd>secrecy of data embedding</kwd><kwd>intelligent technology</kwd></kwd-group><kwd-group xml:lang="en"><kwd>hidden embedding</kwd><kwd>container image</kwd><kwd>subinterval matrices</kwd><kwd>eigenvectors</kwd><kwd>secrecy of data embedding</kwd><kwd>intelligent technology</kwd></kwd-group></article-meta></front><back><ack><p>Исследование выполнено при финансовой поддержке РФФИ в рамках научного проекта&amp;nbsp;№ 19-07-00657.</p></ack></back></article>