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<!DOCTYPE article PUBLIC "-//NLM//DTD JATS (Z39.96) Journal Publishing DTD v1.3 20210610//EN" "https://jats.nlm.nih.gov/publishing/1.3/JATS-journalpublishing1-3.dtd">
<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">4</article-id>
      <title-group>
        <article-title>Analysis of ultra-high volumes of network traffic based on quantum machine learning</article-title>
        <trans-title-group xml:lang="ru">
          <trans-title>Анализ сверхвысоких объемов сетевого трафика на основе квантового машинного обучения</trans-title>
        </trans-title-group>
      </title-group>
      <contrib-group>
        <contrib contrib-type="author">
          <contrib-id contrib-id-type="orcid">0000-0002-9732-0099</contrib-id>
          <name>
            <surname>Kalinin</surname>
            <given-names>Maxim</given-names>
          </name>
          <xref ref-type="aff" rid="aff1"/>
          <email>max@ibks.spbstu.ru</email>
        </contrib>
        <contrib contrib-type="author">
          <contrib-id contrib-id-type="orcid">0000-0002-2264-7513</contrib-id>
          <name>
            <surname>Krundyshev</surname>
            <given-names>Vasiliy</given-names>
          </name>
          <xref ref-type="aff" rid="aff1"/>
          <email>krundyshev_vm@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="2021-03-30">
        <day>30</day>
        <month>03</month>
        <year>2021</year>
      </pub-date>
      <issue>1</issue>
      <fpage>39</fpage>
      <lpage>49</lpage>
      <self-uri xmlns:xlink="http://www.w3.org/1999/xlink" content-type="pdf" xlink:href="https://jisp.spbstu.ru/userfiles/files/soderzhaniya/2021_1-5-6.pdf"/>
      <abstract xml:lang="en">
        <p>This paper presents a method for analyzing network traffic based on the use of quantum machine learning. A method for encoding network traffic in terms of a quantum computer has been developed. The results of experimental studies have shown the superiority of the proposed approach over traditional machine learning methods in detecting network attacks</p>
      </abstract>
      <kwd-group xml:lang="en">
        <kwd>network traffic analysis</kwd>
        <kwd>quantum computer</kwd>
        <kwd>quantum machine learning</kwd>
        <kwd>qubit</kwd>
        <kwd>network attacks</kwd>
        <kwd>intrusion detection system</kwd>
      </kwd-group>
    </article-meta>
  </front>
</article>
