<?xml version="1.0" encoding="UTF-8"?>
<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-2256</article-id>
      <title-group>
        <article-title>Strategic investment approaches for building robust computer security frameworks within organizational networks</article-title>
      </title-group>
      <contrib-group>
        <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, 203201, India</aff>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Kharade</surname>
            <given-names>Amruta Prasad</given-names>
          </name>
          <aff>Department of Engineering Science and Humanities, Vishwakarma Institute of Technology, Pune, Maharashtra, 411037, India</aff>
        </contrib>
        <contrib contrib-type="author" corresp="yes">
          <name>
            <surname>Rawat</surname>
            <given-names>Asha</given-names>
          </name>
          <aff>Department of Computer Engineering, NMIMS Deemed-to-be-University, Navi Mumbai, Maharashtra, 410210, India</aff>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Asudani</surname>
            <given-names>Deepak Suresh</given-names>
          </name>
          <aff>Department of Computer Science and Engineering, Nagpur Campus, Symbiosis International (Deemed University), Symbiosis Institute of Technology, Nagpur, Maharashtra, 440008, India</aff>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Anitha</surname>
            <given-names>K.</given-names>
          </name>
          <aff>Department of Management Studies, Meenakshi College of Arts and Science, Meenakshi Academy of Higher Education and Research, Chennai, Tamil Nadu, 600078, India</aff>
        </contrib>
      </contrib-group>
      <volume>47</volume>
      <issue>5-A</issue>
      <fpage>1661</fpage>
      <lpage>1669</lpage>
      <pub-date date-type="pub">
        <day>23</day>
        <month>04</month>
        <year>2026</year>
      </pub-date>
      <abstract>
        <p>In order to increase computer security frameworks inside organisational networks, this research offers a structured framework for strategic investment methods.  In order to combat emerging cyber threats, proactive and cost-effective solutions are required, since traditional reactive defences are inadequate. The suggested system combines risk-return modelling and mathematical optimisation to direct the effective distribution of scarce resources across many defence layers. Organisations may achieve balanced spending, improved resilience, and quantifiable risk reduction by tying financial planning to cybersecurity goals. The results demonstrate how proactive, AI-driven investments outperform other options in reducing the likelihood of breaches while optimising ROI and maintaining business continuity.</p>
      </abstract>
      <kwd-group>
        <kwd>Cybersecurity investment</kwd>
        <kwd>Risk–return modelling</kwd>
        <kwd>Optimization</kwd>
        <kwd>Financial planning</kwd>
        <kwd>Resilience</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>
