<?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-2116</article-id>
      <title-group>
        <article-title>A lightweight Fog Assisted Cloud Model (FACM) for secure environment</article-title>
      </title-group>
      <contrib-group>
        <contrib contrib-type="author">
          <name>
            <surname>Sivakumar</surname>
            <given-names>Karthiga</given-names>
          </name>
          <aff>Department of Data Science, Faculty of Science and Humanities, Ramapuram Campus, SRM Institute of Science and Technology, Chennai, Tamil Nadu, 600089, India</aff>
        </contrib>
        <contrib contrib-type="author" corresp="yes">
          <name>
            <surname>Kaliappan</surname>
            <given-names>Sutha</given-names>
          </name>
          <aff>Department of Computer Science, Faculty of Science and Humanities, Ramapuram Campus, SRM Institute of Science and Technology, Chennai, Tamil Nadu, 600089, India</aff>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Ramasamy</surname>
            <given-names>Renuga Devi</given-names>
          </name>
          <aff>Department of Data Science, Faculty of Science and Humanities, Ramapuram Campus, SRM Institute of Science and Technology, Chennai, Tamil Nadu, 600089, India</aff>
        </contrib>
      </contrib-group>
      <volume>47</volume>
      <issue>2</issue>
      <fpage>777</fpage>
      <lpage>792</lpage>
      <pub-date date-type="pub">
        <day>23</day>
        <month>01</month>
        <year>2026</year>
      </pub-date>
      <abstract>
        <p>Distributed computing is one among the really astonishing innovation in the cutting-edge period because of its productivity in cost-cutting with its adaptability of lessening the own assets while it builds the computational productivity. Continuous protection is required for today’s versatile cloud environments. The massive accessibility of cloud also creates random act of vulnerability. Keeping these constraints as an important consideration, the presented system arrives the solution by developing lightweight cloud environment with Fog-assistance. Fog-assisted cloud computing provides a more distributed, secure, and efficient infrastructure for processing data and delivering services, addressing some of the security challenges associated with traditional cloud-centric approaches. The proposed approach considers the real time data collection through edge sensor networks (ESN). the scenario of data loss during the malfunctioning activities, on the other hand Fog-assisted cloud model (FACM) that tackle the security constraints and retrieve the real parameters is simulated here. The network optimization on malicious activity is adjusted with wind driven optimization (WDO) model. The comparative analysis of both the environment is practically explored with relevant state of art systems. </p>
      </abstract>
      <kwd-group>
        <kwd>Fog computing</kwd>
        <kwd>Cloud computing</kwd>
        <kwd>Distributed systems</kwd>
        <kwd>Secure computing</kwd>
        <kwd>Cyber 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>
      </custom-meta-group>
    </article-meta>
  </front>
</article>
