<?xml version="1.0" encoding="utf-8"?>
<!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="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>
      <title-group>
        <article-title>A set-theoretic model of data poisoning attack techniques in artificial intelligence systems</article-title>
        <trans-title-group xml:lang="ru">
          <trans-title>Теоретико-множественная модель техник атак отравления данных в системах искусственного интеллекта</trans-title>
        </trans-title-group>
      </title-group>
      <contrib-group>
        <contrib contrib-type="author">
          <contrib-id contrib-id-type="orcid">0000-0003-0623-9891</contrib-id>
          <name>
            <surname>Gololobov</surname>
            <given-names>Nikita</given-names>
          </name>
          <xref ref-type="aff" rid="aff1"/>
          <email>gololobov_nv@spbstu.ru</email>
        </contrib>
        <contrib contrib-type="author">
          <contrib-id contrib-id-type="orcid">0000-0002-0232-7248</contrib-id>
          <contrib-id contrib-id-type="scopus">13103571000</contrib-id>
          <name>
            <surname>Zegzhda</surname>
            <given-names>Dmitry</given-names>
          </name>
          <xref ref-type="aff" rid="aff1"/>
          <email>zegzhda_dp@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="2023-08-31">
        <day>31</day>
        <month>08</month>
        <year>2023</year>
      </pub-date>
      <issue>Спецвыпуск</issue>
      <fpage>120</fpage>
      <lpage>129</lpage>
      <self-uri xmlns:xlink="http://www.w3.org/1999/xlink" content-type="pdf" xlink:href="https://jisp.spbstu.ru/userfiles/files/soderzhaniya/2023_spetsvipusk_en_.pdf"/>
      <abstract xml:lang="en">
        <p>The article contains formalized techniques of data poisoning attacks are presented in the form of a set-theoretic model, considering the levels at which poisoning can be carried out. The division of attacks according to levels allows further consideration of each type of poisoning attack to prevent or minimize the consequences of data contamination specific to each level. The model obtained because of the study can be used in further research, the goal of which is to increase the level of unification and automation of data processing and protection methods.</p>
      </abstract>
      <kwd-group xml:lang="en">
        <kwd>cybersecurity</kwd>
        <kwd>data poisoning</kwd>
        <kwd>data cleaning</kwd>
        <kwd>heterogeneous data</kwd>
        <kwd>set-theoretic attack model</kwd>
      </kwd-group>
    </article-meta>
  </front>
</article>
