<?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-1878</article-id>
      <title-group>
        <article-title>Merkle-Damgård hash functions and blockchains : Securing electronic health records</article-title>
      </title-group>
      <contrib-group>
        <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, Iraq</aff>
          <aff>Department of Computer Science, College of Computer Science and Information Technology, University of Kerbala, Karbala, Iraq</aff>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Melgarejo-Bolivar</surname>
            <given-names>Romel P.</given-names>
          </name>
          <aff>Postgraduate Unit of Informatics, Faculty of Statistical and Computer Engineering, Universidad Nacional del Altiplano de Puno, Puno, P. O. Box 291, Peru</aff>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Tumi-Figueroa</surname>
            <given-names>Alfredo</given-names>
          </name>
          <aff>Faculty of Human Medicine, Universidad Nacional del Altiplano de Puno, Puno, P. O. Box 291, Peru</aff>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Ray</surname>
            <given-names>Samrat</given-names>
          </name>
          <aff>Department of Management Studies, IIMS, Pune, Maharashtra, 411033, India</aff>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Dadheech</surname>
            <given-names>Pankaj</given-names>
          </name>
          <aff>Department of Computer Science and Engineering, Management &amp; Gramothan (SKIT), Swami Keshvanand Institute of Technology, Jaipur, Rajasthan, 302017, India</aff>
        </contrib>
        <contrib contrib-type="author" corresp="yes">
          <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-group>
      <volume>27</volume>
      <issue>2-A</issue>
      <fpage>237</fpage>
      <lpage>248</lpage>
      <pub-date date-type="pub">
        <day>06</day>
        <month>04</month>
        <year>2024</year>
      </pub-date>
      <abstract>
        <p>The integration of Blockchain (BC) technology with the Merkle-Damgård Structure (M-DS) presents a practical model for securing Electronic Health Records (EHR). This research study examines how these cryptographic mechanisms can be functional to address confidentiality, integrity, and availability concerns when working with specific clinical data. Secure EHR is developed based on the M-DS, which is notable for being capable of generating Collision-Resistant Hash Functions (CRHF). The summary of BC-based technology in the EHR environment enhances access control, allows it to be fixed, and simplifies decentralized access. A decentralized BC system stores the values that have been hashed, resulting in patient EHR using the M-DC, as per the proposed method. As an outcome of smart contracts’ ability to manage access, only persons who have been authorized to access can analyze and alter clinical information. The strategy of the model’s cryptographic mechanism highlights openness and accountability by securing data confidentiality by encryption and by regularly generating a verification record of every transaction. This work discusses an exhaustive method to secure EHR in a clinical system that develops more computer-aided and data-driven over performing a complete assessment of the mathematical models that are enabling MDC and BC Technology within the overall system of EHR security.</p>
      </abstract>
      <kwd-group>
        <kwd>Merkle-Damgård structure</kwd>
        <kwd>Deep learning</kwd>
        <kwd>Classification</kwd>
        <kwd>Blockchain</kwd>
        <kwd>Security</kwd>
        <kwd>Hash function</kwd>
        <kwd>Healthcare</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>
