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<article article-type="Research Article">
  <front>
    <journal-meta>
      <journal-id journal-id-type="publisher">journal-of-discrete-mathematical-sciences-and-cryptography</journal-id>
      <journal-title-group>
        <journal-title>Journal of Discrete Mathematical Sciences and Cryptography</journal-title>
      </journal-title-group>
      <issn publication-format="electronic">2169-0065</issn>
      <issn publication-format="print">0972-0529</issn>
      <publisher>
        <publisher-name>Taru Publications</publisher-name>
      </publisher>
    </journal-meta>
    <article-meta>
      <article-id pub-id-type="doi">10.47974/JDMSC-3090</article-id>
      <title-group>
        <article-title>Deepfake threats in digital security : Detection and prevention mechanisms in networked environments</article-title>
      </title-group>
      <contrib-group>
        <contrib contrib-type="author">
          <name>
            <surname>Banga</surname>
            <given-names>Vaibhav</given-names>
          </name>
          <aff>Nokia Corporation, Bengaluru, Karnataka, 560045, India</aff>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Jain</surname>
            <given-names>Netra</given-names>
          </name>
          <aff>Department of Computer Science, Apaji Institute of Mathematics &amp; Applied Computer Technology (AIM &amp; ACT), Banasthali Vidyapith, Banasthali, Rajasthan, 304022, India</aff>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Hirawat</surname>
            <given-names>Amit</given-names>
          </name>
          <aff>Faculty of Computer Science &amp; Engineering, Poornima University, Jaipur, Rajasthan, 303905, India</aff>
        </contrib>
        <contrib contrib-type="author" corresp="yes">
          <name>
            <surname>Jain</surname>
            <given-names>Rekha</given-names>
          </name>
          <aff>Department of Computer Applications, Manipal University Jaipur, Jaipur, Rajasthan, 303007, India</aff>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Sinhal</surname>
            <given-names>Arpana</given-names>
          </name>
          <aff>Department of Computer Applications, Manipal University Jaipur, Jaipur, Rajasthan, 303007, India</aff>
        </contrib>
      </contrib-group>
      <volume>29</volume>
      <issue>10-C</issue>
      <fpage>4765</fpage>
      <lpage>4773</lpage>
      <pub-date date-type="pub">
        <day>31</day>
        <month>10</month>
        <year>2026</year>
      </pub-date>
      <abstract>
        <p>Deepfake Technology is developed by both computer vision research and the deep learning that has evolved as a spin-off from the advances made in this area. Deepfakes are classified as artificial digital media (including video, photography, and audio) and are created with a high degree of accuracy to replicate the appearance, voice, and actions of human beings. However, deepfakes also can pose a very real threat to an individual’s or organization’s privacy, data protection, and authenticity of digital content. In addition to having beneficial uses, in the last few years there have been many cases of using deepfakes for malicious reasons including, but not limited to, misrepresentation and misinformation, identity fraud, social engineering, and discrediting individuals and/or companies.</p>
      </abstract>
      <kwd-group>
        <kwd>Deepfake</kwd>
        <kwd>Cybersecurity</kwd>
        <kwd>Generative adversarial networks (GANs)</kwd>
        <kwd>Transformer models</kwd>
        <kwd>Network security</kwd>
      </kwd-group>
      <custom-meta-group>
        <custom-meta>
          <meta-name>access</meta-name>
          <meta-value>open</meta-value>
        </custom-meta>
        <custom-meta>
          <meta-name>retracted</meta-name>
          <meta-value>no</meta-value>
        </custom-meta>
      </custom-meta-group>
    </article-meta>
  </front>
</article>
