<?xml version="1.0" encoding="UTF-8"?>
<doi_batch version="5.3.1" xmlns="http://www.crossref.org/schema/5.3.1" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:jats="http://www.ncbi.nlm.nih.gov/JATS1" xmlns:ai="http://www.crossref.org/AccessIndicators.xsd" xsi:schemaLocation="http://www.crossref.org/schema/5.3.1 http://www.crossref.org/schema/deposit/crossref5.3.1.xsd">
 <head>
  <doi_batch_id>aspg-2-4316-1791417298</doi_batch_id>
  <timestamp>20261007235458</timestamp>
  <depositor>
   <depositor_name>American Scientific Publishing Group</depositor_name>
   <email_address>admin@americaspg.com</email_address>
  </depositor>
  <registrant>American Scientific Publishing Group</registrant>
 </head>
 <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>2026</year>
    </publication_date>
    <journal_volume>
     <volume>18</volume>
    </journal_volume>
    <issue>1</issue>
   </journal_issue>
   <journal_article publication_type="full_text">
    <titles>
     <title>OPH-Guard: An Operationally Interpretable Tree-Ensemble Framework for Phishing URL Screening in Secure Web Access Management</title>
    </titles>
    <contributors>
     <person_name sequence="first" contributor_role="author">
      <given_name>Reem</given_name>
      <surname>Atassi</surname>
      <affiliations>
       <institution>
        <institution_name>Higher Colleges of Technology, United Arab Emirates</institution_name>
       </institution>
      </affiliations>
     </person_name>
    </contributors>
    <jats:abstract>
     <jats:p>Phishing URLs still present a security threat to organizations because they enable credential theft and account takeover together with payment fraud and unauthorized digital service access. The existing research on phishing detection has been studied extensively yet most published papers still show a preference for predictive performance assessment compared to operational system capabilities and tests and governance system implementation. The researchers developed OPH-Guard as an operational security system which uses compact tree ensembles to identify phishing URLs for their secure web access management system. The integrated workflow system enables institutional and small enterprise to implement public data ingestion and feature validation together with tabular model learning and post-hoc explanation and security-action mapping. The empirical evaluation used a public GitHub-hosted phishing URL dataset which contains 11,481 labeled records and 87 predictive features. The researchers conducted a comparison between three tree-based learners according to a stratified 80/20 hold-out protocol which included Decision Tree and Random Forest and Extra Trees. The actual results from Extra Trees produced the highest accuracy score of 0.9856 which included 0.9921 precision and 0.9791 recall and 0.9855 F1-score and 0.9984 ROC-AUC from the held-out test results. The study investigates security relevance for top predictors through google index and page rank and domain age and phish hints which provide evidence that the resulting model enables organizations to manage browsing risk through URL triage together with secure information management controls. The study presents a reproducible framework together with a complete screening algorithm and a summary of existing research from ten studies and a system which connects model results to security operations.</jats:p>
    </jats:abstract>
    <publication_date media_type="online">
     <year>2026</year>
    </publication_date>
    <pages>
     <first_page>27</first_page>
     <last_page>33</last_page>
    </pages>
    <publisher_item>
     <item_number item_number_type="article-number">4316</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.180104</doi>
     <resource>https://www.americaspg.com/journal/2/article/4316</resource>
     <collection property="text-mining">
      <item>
       <resource mime_type="application/pdf">https://www.americaspg.com/storage/articles/manuscripts/01M28HFT4WVVYHBR46FHYT1M7F.pdf</resource>
      </item>
     </collection>
    </doi_data>
   </journal_article>
  </journal>
 </body>
</doi_batch>
