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    <journal-meta>
      <journal-id journal-id-type="nlm-ta">REA Press</journal-id>
      <journal-id journal-id-type="publisher-id">null</journal-id>
      <journal-title>REA Press</journal-title><issn pub-type="ppub">3042-1349</issn><issn pub-type="epub">3042-1349</issn><publisher>
      	<publisher-name>REA Press</publisher-name>
      </publisher>
    </journal-meta>
    <article-meta>
      <article-id pub-id-type="doi"> https://doi.org/10.22105/sci.v2i3.41</article-id>
      <article-categories>
        <subj-group subj-group-type="heading">
          <subject>Research Article</subject>
        </subj-group>
        <subj-group><subject>Smart transportation, Intelligent traffic systems, Smart public security, Integrative architecture, Real-time data</subject></subj-group>
      </article-categories>
      <title-group>
        <article-title>Designing secure-by-design IoT for smart transportation: A privacy-aware data analytics</article-title><subtitle>Designing secure-by-design IoT for smart transportation: A privacy-aware data analytics</subtitle></title-group>
      <contrib-group><contrib contrib-type="author">
	<name name-style="western">
	<surname>Hami Hassan Kiyadeh</surname>
		<given-names>Sanaz</given-names>
	</name>
	<aff>Department of Mathematics, The University of Alabama, Tuscaloosa, 35487 Alabama, USA.</aff>
	</contrib><contrib contrib-type="author">
	<name name-style="western">
	<surname>Abd El-Wahed Khalifa</surname>
		<given-names>Hamiden</given-names>
	</name>
	<aff>Operations Research Department, Faculty of Graduate Studies for Statistical Research, Cairo University, 12613 Giza, Egypt.</aff>
	</contrib></contrib-group>		
      <pub-date pub-type="ppub">
        <month>09</month>
        <year>2025</year>
      </pub-date>
      <pub-date pub-type="epub">
        <day>18</day>
        <month>09</month>
        <year>2025</year>
      </pub-date>
      <volume>2</volume>
      <issue>2</issue>
      <permissions>
        <copyright-statement>© 2025 REA Press</copyright-statement>
        <copyright-year>2025</copyright-year>
        <license license-type="open-access" xlink:href="http://creativecommons.org/licenses/by/2.5/"><p>This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.</p></license>
      </permissions>
      <related-article related-article-type="companion" vol="2" page="e235" id="RA1" ext-link-type="pmc">
			<article-title>Designing secure-by-design IoT for smart transportation: A privacy-aware data analytics</article-title>
      </related-article>
	  <abstract abstract-type="toc">
		<p>
			Many cities have adopted smart city initiatives recently and have seen significant improvements in the services they offer to society and the environment. They are equipped to manipulate real-time physical entities and to disseminate smart information to people through smart transportation, healthcare, smart buildings, smart public security, smart parking, intelligent traffic systems, and agriculture. Someone can extract sensitive information from smart city applications. However, user resistance is the most common concern regarding privacy and security. Therefore, while designing and developing the applications, it is also pertinent to understand these security and privacy issues. This paper centers on the critical areas of smart city application and identifies concerns related to an integrative architecture of privacy and security by design. It also evaluates some of the existing approaches to the problems of security and privacy in information technology, which are core to the effective performance of smart city applications. It outlines areas for further research that still require attention to enhance performance.
		</p>
		</abstract>
    </article-meta>
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