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  <doi_batch_id>aspg-2-3810-1791951928</doi_batch_id>
  <timestamp>20261014042528</timestamp>
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   <journal_metadata language="en">
    <full_title>Journal of Cybersecurity and Information Management</full_title>
    <abbrev_title>JCIM</abbrev_title>
    <issn media_type="print">2769-7851</issn>
    <issn media_type="electronic">2690-6775</issn>
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   <journal_issue>
    <publication_date media_type="online">
     <year>2025</year>
    </publication_date>
    <journal_volume>
     <volume>16</volume>
    </journal_volume>
    <issue>2</issue>
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   <journal_article publication_type="full_text">
    <titles>
     <title>Secure Real-Time Information Sharing in Artificial Intelligence Driven Freight Forwarding for Green Supply Chains</title>
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    <contributors>
     <person_name sequence="first" contributor_role="author">
      <given_name>Apeksha</given_name>
      <surname>Garg</surname>
      <affiliations>
       <institution>
        <institution_name>Research Scholar, GITAM School of Business, GITAM University (Deemed to Be University) - Hyderabad, India</institution_name>
       </institution>
      </affiliations>
     </person_name>
     <person_name sequence="additional" contributor_role="author">
      <given_name>Sudha</given_name>
      <surname>Vemaraju</surname>
      <affiliations>
       <institution>
        <institution_name>Associate Professor, GITAM School of Business, GITAM University (Deemed to Be University) - Hyderabad, India</institution_name>
       </institution>
      </affiliations>
     </person_name>
    </contributors>
    <jats:abstract>
     <jats:p>The integration of artificial intelligence (AI) and real-time information sharing is transforming the freight forwarding industry, enabling more sustainable and efficient green supply chains. However, the increasing reliance on interconnected systems raises significant cybersecurity challenges, particularly regarding secure data exchange and protection of sensitive information. This paper explores the critical role of cryptographic models and secure communication protocols in safeguarding real-time data sharing among AI-driven logistics networks. We analyze key security challenges faced by IoT-enabled freight systems and propose robust encryption and key distribution strategies to ensure confidentiality, integrity, and resilience. Our findings highlight the importance of secure information management in advancing sustainable, cyber-resilient supply chains that support environmental goals while maintaining operational efficiency.</jats:p>
    </jats:abstract>
    <publication_date media_type="online">
     <year>2025</year>
    </publication_date>
    <pages>
     <first_page>119</first_page>
     <last_page>136</last_page>
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     <item_number item_number_type="article-number">3810</item_number>
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     <doi>10.54216/JCIM.160209</doi>
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