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<article article-type="research-article" dtd-version="1.3" xml:lang="ru">
  <front xmlns:xlink="http://www.w3.org/1999/xlink">
    <journal-meta>
      <journal-id journal-id-type="elibrary">9004</journal-id>
      <journal-title-group>
        <journal-title>Problems of information security. Computer systems</journal-title>
        <trans-title-group xml:lang="ru">
          <trans-title>Проблемы информационной безопасности. Компьютерные системы</trans-title>
        </trans-title-group>
      </journal-title-group>
      <issn pub-type="epub">2071-8217</issn>
    </journal-meta>
    <article-meta xmlns:xlink="http://www.w3.org/1999/xlink">
      <article-id pub-id-type="publisher-id">5</article-id>
      <article-id pub-id-type="doi">10.48612/jisp/aara-dg74-ata6</article-id>
      <title-group>
        <article-title>Countering steganalysis based on generative adversarial networks</article-title>
        <trans-title-group xml:lang="ru">
          <trans-title>Применение генеративно-состязательных сетей для противодействия стегоанализу</trans-title>
        </trans-title-group>
      </title-group>
      <contrib-group>
        <contrib contrib-type="author">
          <contrib-id contrib-id-type="orcid">0000-0003-0374-4649</contrib-id>
          <name>
            <surname>Sergadeeva</surname>
            <given-names>Anastasia</given-names>
          </name>
          <xref ref-type="aff" rid="aff1"/>
          <email>nsspbpoly@gmail.com</email>
        </contrib>
        <contrib contrib-type="author">
          <contrib-id contrib-id-type="orcid">0000-0003-2849-4682</contrib-id>
          <name>
            <surname>Lavrova</surname>
            <given-names>Daria</given-names>
          </name>
          <xref ref-type="aff" rid="aff1"/>
          <email>lavrova_ds@spbstu.ru</email>
        </contrib>
        <contrib contrib-type="author">
          <contrib-id contrib-id-type="orcid">0000-0002-7485-4848</contrib-id>
          <name>
            <surname>Aleksandrova</surname>
            <given-names>Elena</given-names>
          </name>
          <xref ref-type="aff" rid="aff1"/>
          <email>aleksandrova_eb@spbstu.ru</email>
        </contrib>
      </contrib-group>
      <aff id="aff1">Peter the Great St. Petersburg Polytechnic University</aff>
      <pub-date publication-format="electronic" date-type="pub" iso-8601-date="2024-06-20">
        <day>20</day>
        <month>06</month>
        <year>2024</year>
      </pub-date>
      <issue>2</issue>
      <fpage>57</fpage>
      <lpage>65</lpage>
      <self-uri xmlns:xlink="http://www.w3.org/1999/xlink" content-type="pdf" xlink:href="https://jisp.spbstu.ru/userfiles/files/soderzhaniya/2024_2_rus.pdf"/>
      <abstract xml:lang="en">
        <p>The paper proposes the generative adversarial network approach to improve the robustness of the steganographic method against modern stegoanalyzers. The approach is based on the joint operation of generative adversarial network, pixel importance map and least significant bit replacement method. The results of experimental studies confirmed the effectiveness of the proposed approach.</p>
      </abstract>
      <kwd-group xml:lang="en">
        <kwd>generative adversarial networks</kwd>
        <kwd>steganography</kwd>
        <kwd>steganography method</kwd>
        <kwd>steganalysis</kwd>
        <kwd>machine learning</kwd>
      </kwd-group>
    </article-meta>
  </front>
</article>
