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  <doi_batch_id>aspg-2-2790-1791417299</doi_batch_id>
  <timestamp>20261007235459</timestamp>
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  <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>Innovations in Cyber Security Algorithms for Databases Enhancing Data Retrieval and Management</title>
    </titles>
    <contributors>
     <person_name sequence="first" contributor_role="author">
      <given_name>Shyam S.</given_name>
      <surname>Gupta</surname>
      <affiliations>
       <institution>
        <institution_name>Associate Professor, Department of Computer Science and Engineering, Amity School of Engineering and Technology (ASET), Amity University, Gwalior -474005 Madhya Pradesh, India.</institution_name>
       </institution>
      </affiliations>
     </person_name>
     <person_name sequence="additional" contributor_role="author">
      <given_name>Pankaj</given_name>
      <surname>Kumar</surname>
      <affiliations>
       <institution>
        <institution_name>Professor, Department of Pharmacology, Adesh Institute of Pharmacy and Biomedical sciences, Adesh University, NH-7, Barnala Road, Bathinda</institution_name>
       </institution>
      </affiliations>
     </person_name>
     <person_name sequence="additional" contributor_role="author">
      <given_name>Rajeev</given_name>
      <surname>Shrivastava</surname>
      <affiliations>
       <institution>
        <institution_name>Principal, Princeton Institute of Engineering &amp; Technology for Women Hyderabad, Telangana, India</institution_name>
       </institution>
      </affiliations>
     </person_name>
     <person_name sequence="additional" contributor_role="author">
      <given_name>Satyabrata</given_name>
      <surname>Jena</surname>
      <affiliations>
       <institution>
        <institution_name>Associate Professor, Department of Pharmaceutics, Bhaskar Pharmacy College, Yenkapally, Moinabad, Hyderabad, Telangana</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</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, Department of CSE, Princeton Institute of Engineering and Technology for Women, Hyderabad, India</institution_name>
       </institution>
      </affiliations>
     </person_name>
    </contributors>
    <jats:abstract>
     <jats:p>The term &quot;Innovations in Cyber Security Algorithms for Databases Enhancing Data Retrieval and Management&quot; refers to a book that studies novel techniques for tackling problems related to digital data. The integration of three complicated methods—DQO, DSS, and RAI—is the major focus of attention in this piece of writing. DQO makes use of machine learning to optimize query processing on the fly to meet fluctuating workloads. This is done to accommodate such workloads. To address issues pertaining to the scale of distributed systems, distributed storage systems (DSS) convey data in an effective manner by utilizing consistent hashing. The RAI algorithm adjusts the index architecture in response to the query patterns to achieve real-time flexibility. In this way, the process of looking for information that is frequently asked about is sped up. The methodology that has been suggested is superior to six different ways that are often used in terms of its adaptability, scalability, and real-time capabilities. This article will give a thorough model for improving data management in computer systems. The objective of this essay is to present the model.</jats:p>
    </jats:abstract>
    <publication_date media_type="online">
     <year>2024</year>
    </publication_date>
    <pages>
     <first_page>191</first_page>
     <last_page>198</last_page>
    </pages>
    <publisher_item>
     <item_number item_number_type="article-number">2790</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/JCIM.130215</doi>
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