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  <doi_batch_id>aspg-2-2791-1791417276</doi_batch_id>
  <timestamp>20261007235436</timestamp>
  <depositor>
   <depositor_name>American Scientific Publishing Group</depositor_name>
   <email_address>admin@americaspg.com</email_address>
  </depositor>
  <registrant>American Scientific Publishing Group</registrant>
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 <body>
  <journal>
   <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>
   </journal_metadata>
   <journal_issue>
    <publication_date media_type="online">
     <year>2024</year>
    </publication_date>
    <journal_volume>
     <volume>13</volume>
    </journal_volume>
    <issue>2</issue>
   </journal_issue>
   <journal_article publication_type="full_text">
    <titles>
     <title>Cybersecurity Approaches for Securing Digital Marketing Data</title>
    </titles>
    <contributors>
     <person_name sequence="first" contributor_role="author">
      <given_name>Mohammad</given_name>
      <surname>Arif</surname>
      <affiliations>
       <institution>
        <institution_name>School of Computer Science &amp; Engineering, Vellore Institute of Technology, Vellore, India</institution_name>
       </institution>
      </affiliations>
     </person_name>
     <person_name sequence="additional" contributor_role="author">
      <given_name>Anjali</given_name>
      <surname>Goswami</surname>
      <affiliations>
       <institution>
        <institution_name>Department of Mathematics and Statistics, College of Science and Theoretical Studies, Saudi Electronic University, Riyadh-13323, Saudi Arabia</institution_name>
       </institution>
      </affiliations>
     </person_name>
     <person_name sequence="additional" contributor_role="author">
      <given_name>CH. M. H.</given_name>
      <surname>Saibaba</surname>
      <affiliations>
       <institution>
        <institution_name>Asst. Professor, Dept. of CSE, Koneru Lakshmaiah Education Foundation, Vaddeswaram, AP, India</institution_name>
       </institution>
      </affiliations>
     </person_name>
     <person_name sequence="additional" contributor_role="author">
      <given_name>K.</given_name>
      <surname>Sharada</surname>
      <affiliations>
       <institution>
        <institution_name>Associate Professor, Department of Computer Science and Engineering, Gitam (Deemed to be University), Visakhapatnam, AP, India</institution_name>
       </institution>
      </affiliations>
     </person_name>
     <person_name sequence="additional" contributor_role="author">
      <given_name>Tushar Kumar</given_name>
      <surname>Pandey</surname>
      <affiliations>
       <institution>
        <institution_name>Junior Engineer (Computer Science), Dr. Rajendra Prasad Central Agricultural University, Pusa, Samastipur, Bihar, India</institution_name>
       </institution>
      </affiliations>
     </person_name>
     <person_name sequence="additional" contributor_role="author">
      <given_name>Ankita</given_name>
      <surname>Nigam</surname>
      <affiliations>
       <institution>
        <institution_name>Professor CSE Department, Princeton Institute of Engineering and Technology for Women Hyderabad, India</institution_name>
       </institution>
      </affiliations>
     </person_name>
    </contributors>
    <jats:abstract>
     <jats:p>The Energy Internet was enabled by quick energy sector developments due to greater digital technologies and increased environmental concerns. Energy demand management is crucial in this changing environment, as rigid models give way to more flexible ones. This research examines &quot;Demand Dynamics in the Energy Internet&quot; and suggests consumer and prosumer response plans. This concept regarding energy consumption and management is novel. Our work revolves around several essential aims. First, it examines the Energy Internet's role in the energy transition. It emphasizes energy savings, carbon reduction, and energy system reliability. We emphasize the need to transition away from centralized energy generation to one that is more flexible and involves active consumers and prosumers. This research examines how digital technology, particularly the Internet of Things, enables adaptable demand-side tactics. Real-time data analytics and smart meters help consumers and prosumers utilize energy efficiently. A transition like this is difficult. Data protection, hacking, and behaviour must be addressed. Our study demonstrates that these issues can be addressed immediately. Since one-size-fits-all is not adequate in this changing environment, we emphasize the need for customization to satisfy the individual demands of multiple parties, including conventional customers and prosumers. It also discusses energy Internet-targeted response strategies and their possibilities. We can reduce energy usage and make energy more sustainable, efficient, and consumer-focused by switching from passive consumption to active involvement and control.</jats:p>
    </jats:abstract>
    <publication_date media_type="online">
     <year>2024</year>
    </publication_date>
    <pages>
     <first_page>199</first_page>
     <last_page>206</last_page>
    </pages>
    <publisher_item>
     <item_number item_number_type="article-number">2791</item_number>
    </publisher_item>
    <ai:program name="AccessIndicators">
     <ai:license_ref applies_to="vor">https://creativecommons.org/licenses/by/4.0/</ai:license_ref>
    </ai:program>
    <doi_data>
     <doi>10.54216/JCIM.130216</doi>
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