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  <doi_batch_id>aspg-3-1325-1791419706</doi_batch_id>
  <timestamp>20261008003506</timestamp>
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   <depositor_name>American Scientific Publishing Group</depositor_name>
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  <journal>
   <journal_metadata language="en">
    <full_title>Fusion: Practice and Applications</full_title>
    <abbrev_title>FPA</abbrev_title>
    <issn media_type="print">2770-0070</issn>
    <issn media_type="electronic">2692-4048</issn>
   </journal_metadata>
   <journal_issue>
    <publication_date media_type="online">
     <year>2022</year>
    </publication_date>
    <journal_volume>
     <volume>9</volume>
    </journal_volume>
    <issue>2</issue>
   </journal_issue>
   <journal_article publication_type="full_text">
    <titles>
     <title>Deep Learning Fusion for Attack Detection in Internet of Things Communications</title>
    </titles>
    <contributors>
     <person_name sequence="first" contributor_role="author">
      <given_name>Ossama</given_name>
      <surname>Embarak</surname>
      <affiliations>
       <institution>
        <institution_name>Higher Colleges of Technology (HCT), UAE</institution_name>
       </institution>
      </affiliations>
     </person_name>
     <person_name sequence="additional" contributor_role="author">
      <given_name>Mhmed</given_name>
      <surname>Algrnaodi</surname>
      <affiliations>
       <institution>
        <institution_name>Electrical Engineering Department, Ecole de technologie superieure, Montreal, Canada</institution_name>
       </institution>
      </affiliations>
     </person_name>
    </contributors>
    <jats:abstract>
     <jats:p>The increasing deep learning techniques used in multimedia and network/IoT solve many problems and increase performance. Securing the deep learning models, multimedia, and network/IoT has become a major area of research in the past few years which is considered to be a challenge during generative adversarial attacks over the multimedia or network/IoT. Many efforts and studies try to provide intelligent forensics techniques to solve security issues. This paper introduces a holistic organization of intelligent multimedia forensics that involve deep learning fusion, multimedia, and network/IoT forensics to attack detection. We highlight the importance of using deep learning fusion techniques to obtain intelligent forensics and security over multimedia or Network/IoT. Finally, we discuss the key challenges and future directions in the area of intelligent multimedia forensics using deep learning fusion techniques.</jats:p>
    </jats:abstract>
    <publication_date media_type="online">
     <year>2022</year>
    </publication_date>
    <pages>
     <first_page>27</first_page>
     <last_page>47</last_page>
    </pages>
    <publisher_item>
     <item_number item_number_type="article-number">1325</item_number>
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     <doi>10.54216/FPA.090203</doi>
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