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<article article-type="Research Article">
  <front>
    <journal-meta>
      <journal-id journal-id-type="publisher">journal-of-information-and-optimization-sciences</journal-id>
      <journal-title-group>
        <journal-title>Journal of Information and Optimization Sciences</journal-title>
      </journal-title-group>
      <issn publication-format="electronic">2169-0103</issn>
      <issn publication-format="print">0252-2667</issn>
      <publisher>
        <publisher-name>Taru Publications</publisher-name>
      </publisher>
    </journal-meta>
    <article-meta>
      <article-id pub-id-type="doi">10.47974/JIOS-2498</article-id>
      <title-group>
        <article-title>Quantum-resilient security for cross-border healthcare data exchange</article-title>
      </title-group>
      <contrib-group>
        <contrib contrib-type="author">
          <name>
            <surname>Patil</surname>
            <given-names>Shilpa C.</given-names>
          </name>
          <aff>Department of Critical Care Medicine, Krishna Institute of Medical Sciences, Krishna Vishwa Vidyapeeth (Deemed to be University), Karad, Maharashtra, 415539, India</aff>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Yadav</surname>
            <given-names>Veerendra</given-names>
          </name>
          <aff>Department of Computer Science &amp; Engineering, Noida International University, Greater Noida, Uttar Pradesh, 201312, India</aff>
        </contrib>
        <contrib contrib-type="author" corresp="yes">
          <name>
            <surname>Shriyal</surname>
            <given-names>Swati Shivkumar</given-names>
          </name>
          <aff>Department of Artificial Intelligence, Vishwakarma University, Pune, Maharashtra, 411048, India</aff>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Reddy</surname>
            <given-names>Chittireddy Amarendar</given-names>
          </name>
          <aff>Department of Computer Science and Engineering (Artificial Intelligence &amp; Machine Learning), Vardhaman College of Engineering, Shamshabad, Hyderabad, Telangana, 501218, India</aff>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Varasala</surname>
            <given-names>Prasanth</given-names>
          </name>
          <aff>Department of Electronics &amp; Communication Engineering, Pragati Engineering College, Kakinada, Andhra Pradesh, 533437, India</aff>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Karwande</surname>
            <given-names>Vijay Suresh</given-names>
          </name>
          <aff>Department of Computer Engineering, Sandip Institute of Technology and Research Centre, Nashik, Maharashtra, 422213, India</aff>
        </contrib>
      </contrib-group>
      <volume>47</volume>
      <issue>10</issue>
      <fpage>3731</fpage>
      <lpage>3740</lpage>
      <pub-date date-type="pub">
        <day>31</day>
        <month>10</month>
        <year>2026</year>
      </pub-date>
      <abstract>
        <p>As health information crosses from one healthcare domain or infrastructure to another, robust confidentiality, authentication, and integrity of the electronic medical records are crucial. This study aims to present a hybrid post-quantum encryption and authentication scheme for secure medical data exchange across the border using lattice-based encryption. The framework integrates a session-key establishment mechanism based on ML-KEM, AES-256-GCM for medical-data encryption, a digital signature scheme based on ML-DSA, integrity check based on hash function and identity-bound transaction metadata. It takes into account the mathematical security model involving key encapsulation, signature verification, adversarial advantage, communication overhead and processing cost. This shows that the proposed framework takes around 0.47ms for key encapsulation, 0.55ms for decapsulation and 0.94ms for digital signing, using simulation-based evaluation. The assumed end-to-end processing time is 83.91ms for a medical record of 50 MB, and the security related communication overhead falls off to about 0.011% when the size of the medical record increases. The results of the analysis show that quantum-resistant protection can be implemented with a moderate computational and communication overhead in cross-border healthcare settings.</p>
      </abstract>
      <kwd-group>
        <kwd>Post-quantum cryptography</kwd>
        <kwd>Medical data exchange</kwd>
        <kwd>Lattice cryptography</kwd>
        <kwd>ML-KEM</kwd>
        <kwd>Healthcare 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>
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    </article-meta>
  </front>
</article>
