<?xml version="1.0" encoding="UTF-8"?>
<article article-type="research-article" xml:lang="es" xmlns:xlink="http://www.w3.org/1999/xlink">
<front>
<journal-meta>
<journal-id journal-id-type="publisher">global-journal-of-computer-science-and-technology-h-information-technology</journal-id>
<journal-title-group>
<journal-title>Global Journal of Computer Science and Technology - H: Information &amp; Technology</journal-title>
</journal-title-group>
<issn publication-format="print">0975-4350</issn>
<issn publication-format="electronic">0975-4172</issn>
<publisher><publisher-name>Global Journals Publishing Group Incorporated</publisher-name></publisher>
<self-uri xlink:href="https://globaljournals.org/journal-seo-export/jats/52836.xml" />
</journal-meta>
<article-meta>
<article-id pub-id-type="publisher-id">52836</article-id>
<title-group>
<article-title>Application of Decision Trees in the Identification of Fraudulent Websites</article-title>
<subtitle>Detecting Fraudulent Websites via Decision Trees</subtitle>
</title-group>
<contrib-group>
<contrib contrib-type="author"><name><surname>FernÃ¡ndez</surname><given-names>Christian Layme</given-names></name><xref ref-type="aff" rid="aff1" />
</contrib>
<contrib contrib-type="author"><name><surname>Canaza</surname><given-names>JosÃ© Manuel Suri</given-names></name></contrib>
<contrib contrib-type="author"><name><surname>Ugarte</surname><given-names>David Jose PeÃ±a</given-names></name></contrib>
<contrib contrib-type="author"><name><surname>Quispe</surname><given-names>Jhon Yoset Luna</given-names></name></contrib>
</contrib-group>
<aff id="aff1">PERU</aff>
<pub-date publication-format="electronic" date-type="pub" iso-8601-date="2022-07-19">
<day>19</day>
<month>07</month>
<year>2022</year>
</pub-date>
<volume>22</volume>
<issue>H1</issue>
<fpage>7</fpage>
<lpage>11</lpage>
<abstract><p>Computer security is a very important area in any system that has an internet connection, because there are fraudulent websites that can carry out criminal actions towards a person, organization or other entity. Therefore, it is necessary to be able to detect which websites are fraudulent before being able to enter it, for this an implementation was developed through Decision Trees with the Python language to detect and classify them as Legitimate, Suspicious and Fraudulent through 1353 cases that they rank websites.</p></abstract>
<kwd-group kwd-group-type="author-generated">
<kwd>Ã¡rboles de decisiÃ³n</kwd>
<kwd>crisp-dm</kwd>
<kwd>minerÃ­a de datos</kwd>
<kwd>clasificaciÃ³n</kwd>
<kwd>sitios web</kwd>
<kwd>árboles de decisión</kwd>
<kwd>minería de datos</kwd>
<kwd>clasificación</kwd>
</kwd-group>
<self-uri content-type="pdf" xlink:href="https://globaljournals.org/GJCST_Volume22/2-Application-of-Decision-Trees.pdf" />
<self-uri content-type="html" xlink:href="https://globaljournals.org/scholarly-articles/application-of-decision-trees-in-the-identification-of-fraudulent-websites/" />
</article-meta>
</front>
<body>
<sec>
<title>Full Text</title>
<p>Computer security is a very important area in any system that has an internet connection, because there are fraudulent websites that can carry out criminal actions towards a person, organization or other entity. Therefore, it is necessary to be able to detect which websites are fraudulent before being able to enter it, for this an implementation was developed through Decision Trees with the Python language to detect and classify them as Legitimate, Suspicious and Fraudulent through 1353 cases that they rank websites.</p>
</sec>
</body>
</article>