<?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-2695</article-id>
      <title-group>
        <article-title>Secure wireless communication in 5G networks using optimized cryptographic algorithms</article-title>
      </title-group>
      <contrib-group>
        <contrib contrib-type="author">
          <name>
            <surname>Sharma</surname>
            <given-names>Surbhi</given-names>
          </name>
          <aff>Department of Computer Science and Engineering, Manipal University Jaipur, Jaipur, Rajasthan, 303007, India</aff>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Devi</surname>
            <given-names>Gian</given-names>
          </name>
          <aff>Department of Computer Science, Govt. College Sultanpur (Farrukhnagar), Gurugram University, Gurugram, Haryana, 122506, India</aff>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Rathi</surname>
            <given-names>Preeti</given-names>
          </name>
          <aff>Department of Computer Science, School of Engineering and Technology, K. R. Mangalam University, Gurgaon, Haryana, 122103, India</aff>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Soms</surname>
            <given-names>Nisha</given-names>
          </name>
          <aff>Department of Computer Science and Engineering, KPR Institute of Engineering and Technology, Anna University, Coimbatore, Tamil Nadu, 641407, India</aff>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Chakravarthy</surname>
            <given-names>Sheeja Pon</given-names>
          </name>
          <aff>Department of Computer Science and Engineering, Coimbatore Institute of Technology, Anna University, Coimbatore, Tamil Nadu, 641014, India</aff>
        </contrib>
        <contrib contrib-type="author" corresp="yes">
          <name>
            <surname>Vats</surname>
            <given-names>Prashant</given-names>
          </name>
          <aff>Department of Computer Science &amp; Engineering, Manipal University Jaipur, Jaipur, Rajasthan, 303007, India</aff>
        </contrib>
      </contrib-group>
      <volume>29</volume>
      <issue>8</issue>
      <fpage>3107</fpage>
      <lpage>3116</lpage>
      <pub-date date-type="pub">
        <day>14</day>
        <month>08</month>
        <year>2026</year>
      </pub-date>
      <abstract>
        <p>The widespread rollout of fifth-generation (5G) wireless systems has delivered extremely low latency, extensive device interconnectivity, and enhanced data transmission rates. However, it has also introduced significant security concerns due to virtualization, diverse network structures, and expanded attack vectors. Protecting data in such environments demands cryptographic techniques that are both secure and resource-efficient. This study proposes a secure communication framework for 5G networks using optimized cryptographic methods to ensure confidentiality, integrity, and authentication while maintaining system performance. The framework combines lightweight encryption techniques, efficient key distribution strategies, and adaptive security configurations suited to various 5G use cases such as enhanced mobile broadband (eMBB), ultra-reliable low-latency communication (URLLC), and massive machine-type communication (mMTC). Performance analysis is carried out based on metrics including processing cost, delay, throughput, and security robustness. The findings indicate that the proposed method lowers encryption overhead while effectively defending against common threats like eavesdropping, replay, and man-in-the-middle attacks. Overall, the framework provides a scalable and efficient approach for securing future 5G wireless communication systems.</p>
      </abstract>
      <kwd-group>
        <kwd>5G networks</kwd>
        <kwd>Wireless security</kwd>
        <kwd>Cryptographic algorithms</kwd>
        <kwd>Secure communication</kwd>
        <kwd>Data confidentiality</kwd>
        <kwd>Lightweight encryption</kwd>
        <kwd>Key management</kwd>
        <kwd>Network security</kwd>
        <kwd>Performance optimization</kwd>
        <kwd>Attack mitigation</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>
