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<article article-type="research-article" dtd-version="1.3" xml:lang="en">
  <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">11</article-id>
      <article-id pub-id-type="doi">10.48612/jisp/3zat-fd5f-vemt</article-id>
      <title-group>
        <article-title>The application of machine learning algorithms in securing IoT-systems network infrastructure in water transport systems</article-title>
        <trans-title-group xml:lang="ru">
          <trans-title>Применение алгоритмов машинного обучения в обеспечении безопасности сетевой инфраструктуры IoT-систем на водном транспорте</trans-title>
        </trans-title-group>
      </title-group>
      <contrib-group>
        <contrib contrib-type="author">
          <contrib-id contrib-id-type="orcid">0000-0003-0123-010X</contrib-id>
          <name>
            <surname>Arbuzov</surname>
            <given-names>Artem</given-names>
          </name>
          <xref ref-type="aff" rid="aff1"/>
          <email>artarbuzv@gmail.com</email>
        </contrib>
        <contrib contrib-type="author">
          <contrib-id contrib-id-type="orcid">0000-0002-9803-6284</contrib-id>
          <name>
            <surname>Nyrkov</surname>
            <given-names>Anatoly</given-names>
          </name>
          <xref ref-type="aff" rid="aff1"/>
          <email>kaf.koib@gmail.com, nyrkowap@gumrf.ru</email>
        </contrib>
        <contrib contrib-type="author">
          <contrib-id contrib-id-type="orcid">0000-0003-2648-9097</contrib-id>
          <name>
            <surname>Terekhov</surname>
            <given-names>Andrey</given-names>
          </name>
          <xref ref-type="aff" rid="aff2"/>
          <email>Andrey.Terekhov@lanit-tercom.ru, a.terekhov@spbu.ru</email>
        </contrib>
        <contrib contrib-type="author">
          <contrib-id contrib-id-type="orcid">0000-0002-3661-9417</contrib-id>
          <name>
            <surname>Li</surname>
            <given-names>Isolda</given-names>
          </name>
          <xref ref-type="aff" rid="aff3"/>
          <email>LiIV@gumrf.ru</email>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Demenev</surname>
            <given-names>Danil</given-names>
          </name>
          <xref ref-type="aff" rid="aff1"/>
          <email>demenevdan99@gmail.com</email>
        </contrib>
      </contrib-group>
      <aff id="aff1">Admiral Makarov State University of Maritime and Inland Shipping</aff>
      <aff id="aff2">St. Petersburg University</aff>
      <aff id="aff3">Saint-Petersburg State Marine Technical University</aff>
      <pub-date publication-format="electronic" date-type="pub" iso-8601-date="2025-06-16">
        <day>16</day>
        <month>06</month>
        <year>2025</year>
      </pub-date>
      <issue>2</issue>
      <fpage>131</fpage>
      <lpage>142</lpage>
      <self-uri xmlns:xlink="http://www.w3.org/1999/xlink" content-type="pdf" xlink:href="https://jisp.spbstu.ru/userfiles/files/soderzhaniya/pib_2_itog-8-9.pdf"/>
      <abstract xml:lang="en">
        <p>The article discusses the security issues of the three-tier IoT architecture, consisting of the physical, network, and application layers. The emphasis is placed on the importance of protecting IoT systems from cyber attacks, which can have serious financial consequences and also affect human security. The existing possibilities of using current machine learning algorithms in order to detect and prevent cyber threats are considered. The study focuses on the two lower levels of the IoT architecture, as the application layer requires separate analysis due to a variety of attacks, including social engineering. The work is aimed at in-depth understanding of IoT vulnerabilities and at offering effective methods of overcoming them, using modern technologies.</p>
      </abstract>
      <kwd-group xml:lang="en">
        <kwd>Machine learning</kwd>
        <kwd>internet of things</kwd>
        <kwd>water transportation</kwd>
        <kwd>information security</kwd>
        <kwd>neural networks</kwd>
        <kwd>decision trees</kwd>
        <kwd>IoT systems architecture</kwd>
      </kwd-group>
    </article-meta>
  </front>
</article>
