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  <doi_batch_id>aspg-3-1327-1791419729</doi_batch_id>
  <timestamp>20261008003529</timestamp>
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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>Provable Chaotically Authenticated Encrypted Biomedical Image Using OFDM Transmission</title>
    </titles>
    <contributors>
     <person_name sequence="first" contributor_role="author">
      <given_name>B. M.</given_name>
      <surname>El-den</surname>
      <affiliations>
       <institution>
        <institution_name>Department of Electronics and Communication Engineering, Faculty of Engineering, Delta University for Science&amp; Technology, International Coastal Road, Gamasah City, Mansoura, Dakhliya, Egypt,</institution_name>
       </institution>
      </affiliations>
     </person_name>
    </contributors>
    <jats:abstract>
     <jats:p>In this research, a unique multiband random chaotic key generator based provable authenticated encrypted technique for biomedical picture for the healthcare biomedical system, which can be used in 5G communication system is presented. In addition, the encryption method employed in this research is based on Multiband Random Chaotic Key Generator, and the proposed provable authenticated methodology is based on symmetric authenticated encryption data (MBRCKG). In the proposed proven Orthogonal Frequency Division Multiplexing (OFDM) communication system, the Authenticated Chaotic Encrypted Biomedical Image (ACE-BI) is utilized. This study uses discrete wavelet transformation (DWT) and discrete cosine transformation (DCT) to mask patient data and hospital watermarks in biological images. With various statistical and OFDM settings, channel analysis and statistical analysis have been examined for their effects on the collected hospital logo and patient data. The simulation studies demonstrate how resistant to communication signal processing the proposed ACE-BI method is. Additionally, the proposed algorithm is able to reduce encryption time to one quarter because the partial encryption based in one level DWT scheme.</jats:p>
    </jats:abstract>
    <publication_date media_type="online">
     <year>2022</year>
    </publication_date>
    <pages>
     <first_page>08</first_page>
     <last_page>18</last_page>
    </pages>
    <publisher_item>
     <item_number item_number_type="article-number">1327</item_number>
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     <doi>10.54216/FPA.090201</doi>
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