<?xml version="1.0" encoding="UTF-8"?>
<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-2087</article-id>
      <title-group>
        <article-title>Leveraging blockchain technology to combat deception, deepfake, and counterfeit system</article-title>
      </title-group>
      <contrib-group>
        <contrib contrib-type="author" corresp="yes">
          <name>
            <surname>Gopalakrishnan</surname>
            <given-names>T.</given-names>
          </name>
          <aff>Department of Information Technology, Manipal Institute of Technology Bengaluru, Manipal Academy of Higher Education, Manipal, 576104, India</aff>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Ghanimi</surname>
            <given-names>Hayder M. A.</given-names>
          </name>
          <aff>Department of Information Technology, College of Science, University of Warith Al-Anbiyaa, Karbala, 56001, Iraq</aff>
          <aff>Department of Computer Science, College of Computer Science and Information Technology, University of Kerbala, Karbala, 56001, Iraq</aff>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Alam</surname>
            <given-names>Tanweer</given-names>
          </name>
          <aff>Department of Computer Science, Faculty of Computer and Information Systems, Islamic University of Madinah, Madinah, PO Box: 170, 42351, Saudi Arabia</aff>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Sreekanth</surname>
            <given-names>K.</given-names>
          </name>
          <aff>Department of Computer Science and Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram, Andhra Pradesh, 522502, India</aff>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Purushothaman</surname>
            <given-names>K. E.</given-names>
          </name>
          <aff>Department of Electronics and Communication Engineering, Vel Tech Rangarajan Dr. Sagunthala R&amp;D Institute of Science and Technology, Chennai, Tamil Nadu, 600062, India</aff>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Sengan</surname>
            <given-names>Sudhakar</given-names>
          </name>
          <aff>Department of Computer Science and Engineering, PSN College of Engineering and Technology, Tirunelveli, Tamil Nadu, 627152, India</aff>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Dadheech</surname>
            <given-names>Pankaj</given-names>
          </name>
          <aff>Department of Computer Science and Engineering, Swami Keshvanand Institute of Technology, Management &amp; Gramothan (SKIT), Jaipur, Rajasthan, 302017, India</aff>
        </contrib>
      </contrib-group>
      <volume>27</volume>
      <issue>7</issue>
      <fpage>2143</fpage>
      <lpage>2154</lpage>
      <pub-date date-type="pub">
        <day>15</day>
        <month>10</month>
        <year>2024</year>
      </pub-date>
      <abstract>
        <p>Counterfeit technology propagation and deepfake systems threaten authenticity, trust, and data integrity. This research article proposes a novel technique that leverages Blockchain Technology (BT) integrated with improved chameleon hashing to combat these threats. BT integration assures transparency and immutability, while improved Chameleon Hash Function (CHF) gives secure and efficient authentication. This combined technique focuses on enhancing the prevention and detection of illegal content changes, providing a robust solution for preserving the authenticity and integrity of digital content. The proposed blockchain-assisted improved Chameleon Hashing (BAiCH) promises substantial progression in combating deception and fake systems via a cryptographically and CHF secure system. The performance of the proposed framework BACH is compared with existing state-of-the-art techniques. The BACH give a minimal Bit Error Rate (BER) of 0.098 bits and a higher Signal-Noise Ratio (SNR) of 30dB, which is efficient over existing techniques.</p>
      </abstract>
      <kwd-group>
        <kwd>Cyber-physical system</kwd>
        <kwd>Blockchain technology</kwd>
        <kwd>Chameleon hash function</kwd>
        <kwd>Bit error rate</kwd>
        <kwd>Signal-noise ratio</kwd>
        <kwd>Deepfake systems</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>
