<?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">5</article-id>
      <article-id pub-id-type="doi">10.48612/jisp/7xhd-2nbh-t8hx</article-id>
      <title-group>
        <article-title>IDENTIFYING AND COUNTERING MALICIOUS INFORMATION IN SOCIAL NETWORKS</article-title>
        <trans-title-group xml:lang="ru">
          <trans-title>Выявление и противодействие вредоносной информации в социальных сетях</trans-title>
        </trans-title-group>
      </title-group>
      <contrib-group>
        <contrib contrib-type="author">
          <name>
            <surname>Glibovsky</surname>
            <given-names>Pavel</given-names>
          </name>
          <xref ref-type="aff" rid="aff1"/>
          <email>vka@mil.ru</email>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Serebryakov</surname>
            <given-names>Petr</given-names>
          </name>
          <xref ref-type="aff" rid="aff1"/>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Timashov</surname>
            <given-names>Pavel</given-names>
          </name>
          <xref ref-type="aff" rid="aff1"/>
          <email>vka@mil.ru</email>
        </contrib>
      </contrib-group>
      <aff id="aff1">Mozhaisky Military Aerospace Academy</aff>
      <pub-date publication-format="electronic" date-type="pub" iso-8601-date="2022-12-26">
        <day>26</day>
        <month>12</month>
        <year>2022</year>
      </pub-date>
      <issue>4</issue>
      <fpage>43</fpage>
      <lpage>52</lpage>
      <self-uri xmlns:xlink="http://www.w3.org/1999/xlink" content-type="pdf" xlink:href="https://jisp.spbstu.ru/userfiles/files/2022_4_short.pdf"/>
      <abstract xml:lang="en">
        <p>The algorithm of ranking sources by potential used to identify malicious information in
social networks and the algorithm of ranking countermeasures used to counteract it is considered.
They allow you to achieve the required level of protection of users in social networks. Resource consumption,
efficiency and objectivity were selected as indicators of the criteria for the effectiveness
of the methodology processes. The resource consumption of processes is proposed to evaluate by
indicators: «The use of the central processor device», «The use of RAM» and «Operator operation
time». When comparing the processes with each other, we take the time of the measurements of
the algorithm for ranking sources by potential and sorting the objects of influence</p>
      </abstract>
      <kwd-group xml:lang="en">
        <kwd>ranking</kwd>
        <kwd>potential</kwd>
        <kwd>countermeasure</kwd>
        <kwd>performance criteria</kwd>
      </kwd-group>
    </article-meta>
  </front>
</article>
