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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">3</article-id>
      <article-id pub-id-type="doi">10.48612/jisp/8dr8–1gna-v9bx</article-id>
      <title-group>
        <article-title>Predicting network attacks on IoT systems using regression analysis</article-title>
        <trans-title-group xml:lang="ru">
          <trans-title>Обнаружение сетевых атак на системы Интернета вещей с использованием регрессионного анализа</trans-title>
        </trans-title-group>
      </title-group>
      <contrib-group>
        <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">
          <name>
            <surname>Strukova</surname>
            <given-names>Natalia</given-names>
          </name>
        </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="2021-12-24">
        <day>24</day>
        <month>12</month>
        <year>2021</year>
      </pub-date>
      <issue>4</issue>
      <fpage>39</fpage>
      <lpage>50</lpage>
      <self-uri xmlns:xlink="http://www.w3.org/1999/xlink" content-type="pdf" xlink:href="https://jisp.spbstu.ru/userfiles/files/soderzhaniya/2021_4-7-8.pdf"/>
      <abstract xml:lang="en">
        <p>The aim of the study is to improve the accuracy of IoT network attack detection by applying feature selection methods based on regression models. An analysis of the security problems of IoT systems is presented. The architecture of an intrusion detection system using the considered methods is developed. A software layout that implements the proposed architecture is developed and its effectiveness is evaluated</p>
      </abstract>
      <kwd-group xml:lang="en">
        <kwd>Internet of Things</kwd>
        <kwd>intrusion detection system</kwd>
        <kwd>network attack detection</kwd>
        <kwd>prediction</kwd>
        <kwd>significance assessment</kwd>
        <kwd>feature selection</kwd>
      </kwd-group>
    </article-meta>
  </front>
</article>
