<?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">15</article-id>
      <article-id pub-id-type="doi">10.48612/jisp/hd61-2rx5-fd6r</article-id>
      <title-group>
        <article-title>Using adversarial attacks to protect against automatic text recognition in CAPTCHA services</article-title>
        <trans-title-group xml:lang="ru">
          <trans-title>Использование состязательных атак для защиты от автоматического распознавания текста в сервисах CAPTCHA</trans-title>
        </trans-title-group>
      </title-group>
      <contrib-group>
        <contrib contrib-type="author">
          <contrib-id contrib-id-type="orcid">0009-0008-0568-7223</contrib-id>
          <name>
            <surname>Tsurkan</surname>
            <given-names>Ivan</given-names>
          </name>
          <xref ref-type="aff" rid="aff1"/>
          <email>tsurkan.is@edu.spbstu.ru</email>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Malyshev</surname>
            <given-names>Egor</given-names>
          </name>
          <xref ref-type="aff" rid="aff1"/>
          <email>malyshev@ibks.spbstu.ru</email>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Zubkov</surname>
            <given-names>Evgeny</given-names>
          </name>
          <xref ref-type="aff" rid="aff1"/>
          <email>zubkov.e@edu.spbstu.ru</email>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Moskvin</surname>
            <given-names>Dmitry</given-names>
          </name>
          <xref ref-type="aff" rid="aff1"/>
          <email>moskvin_da@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="2024-08-01">
        <day>01</day>
        <month>08</month>
        <year>2024</year>
      </pub-date>
      <issue>Спецвыпуск</issue>
      <fpage>165</fpage>
      <lpage>175</lpage>
      <self-uri xmlns:xlink="http://www.w3.org/1999/xlink" content-type="pdf" xlink:href="https://jisp.spbstu.ru/userfiles/files/soderzhaniya/2024_spetsvipusk-7-8.pdf"/>
      <abstract xml:lang="en">
        <p>The paper proposes a method of CAPTCHA generation using adversarial attacks with respect to the image recognition model. The advantages of this method are determined based on comparative analysis of statistical data obtained as a result of the study. The developed method allows increasing the efficiency of counteraction against automatic bypassing of CAPTCHA services due to the use of insecurity of neural network models from malicious influence</p>
      </abstract>
      <kwd-group xml:lang="en">
        <kwd>adversarial attacks</kwd>
        <kwd>text recognition</kwd>
        <kwd>denial of service</kwd>
        <kwd>CAPTCHA services</kwd>
        <kwd>machine learning</kwd>
        <kwd>Python</kwd>
      </kwd-group>
    </article-meta>
  </front>
</article>
