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  <doi_batch_id>aspg-20-3511-1791307639</doi_batch_id>
  <timestamp>20261006172719</timestamp>
  <depositor>
   <depositor_name>American Scientific Publishing Group</depositor_name>
   <email_address>admin@americaspg.com</email_address>
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  <registrant>American Scientific Publishing Group</registrant>
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  <journal>
   <journal_metadata language="en">
    <full_title>International Journal of Wireless and Ad Hoc Communication</full_title>
    <abbrev_title>IJWAC</abbrev_title>
    <issn media_type="electronic">2692-4056</issn>
   </journal_metadata>
   <journal_issue>
    <publication_date media_type="online">
     <year>2025</year>
    </publication_date>
    <journal_volume>
     <volume>9</volume>
    </journal_volume>
    <issue>1</issue>
   </journal_issue>
   <journal_article publication_type="full_text">
    <titles>
     <title>Efficacious Framework for The Detection of Link Flooding Attack in Mobile Ad Hoc Network</title>
    </titles>
    <contributors>
     <person_name sequence="first" contributor_role="author">
      <given_name>M.</given_name>
      <surname>Gautham</surname>
      <affiliations>
       <institution>
        <institution_name>Assistant Professor, Department of ECE, Mahendra Engineering College, Namakkal, Tamil Nadu, India</institution_name>
       </institution>
      </affiliations>
     </person_name>
     <person_name sequence="additional" contributor_role="author">
      <given_name>D.</given_name>
      <surname>Chitra</surname>
      <affiliations>
       <institution>
        <institution_name>Professor, Department of ECE, Mahendra Engineering College, Namakkal, Tamil Nadu, India</institution_name>
       </institution>
      </affiliations>
     </person_name>
     <person_name sequence="additional" contributor_role="author">
      <given_name>B.</given_name>
      <surname>Samitha</surname>
      <affiliations>
       <institution>
        <institution_name>PG Scholar, Department of ECE, Mahendra Engineering College, Namakkal, Tamil Nadu, India</institution_name>
       </institution>
      </affiliations>
     </person_name>
    </contributors>
    <jats:abstract>
     <jats:p>A novel honey pot deception trace back model, or honey pot IDS, is offered. The system is located on the server, which is the site of network intrusion deceptions. From there, it keeps an eye on all incoming traffic and uses nodes that carry out network weight age studies to continuously weigh the data. For every client connected to the server, it serves as a construct to look at the packet analysis and transmission path to which the IP processed the intrusion detection system. This LF-IDS detects intrusions using both anomaly-based and rule-based intrusion detection methods. By gathering and examining the packets from incoming traffic, the system initially collects data on the packet agent monitoring system. The trespasser is led to a honey pot that will be constructed as a mitigation site.</jats:p>
    </jats:abstract>
    <publication_date media_type="online">
     <year>2025</year>
    </publication_date>
    <pages>
     <first_page>31</first_page>
     <last_page>33</last_page>
    </pages>
    <publisher_item>
     <item_number item_number_type="article-number">3511</item_number>
    </publisher_item>
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     <ai:license_ref applies_to="vor">https://creativecommons.org/licenses/by/4.0/</ai:license_ref>
    </ai:program>
    <doi_data>
     <doi>10.54216/IJWAC.090105</doi>
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