<rdf:RDF
 xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#"
 xmlns="http://purl.org/rss/1.0/"
 xmlns:dc="http://purl.org/dc/elements/1.1/"
 xmlns:cc="http://web.resource.org/cc/"
 >
<!--
	This ontology document is licensed under the Creative Commons
	Attribution License. To view a copy of this license, visit
	http://creativecommons.org/licenses/by/2.0/ or send a letter to
	Creative Commons, 559 Nathan Abbott Way, Stanford, California
	94305, USA.
-->
 <channel rdf:about="http://ebiquity.umbc.edu//tags/html/?t=searchable+encryption+%28se%29">
  <cc:license rdf:resource="http://creativecommons.org/licenses/by/2.0/" />
  <title><![CDATA[UMBC ebiquity RSS Tag Search]]></title>
  <link><![CDATA[http://ebiquity.umbc.edu//tags/html/?t=searchable+encryption+%28se%29]]></link>
  <description><![CDATA[UMBC ebiquity RSS Tag Search for searchable encryption (se)]]></description>
  <items>
    <rdf:Seq>
      <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/1157/Leveraging-semantic-context-to-establish-access-controls-for-secure-cloud-based-electronic-health-records"/>
      <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/1058/Semantically-Rich-Differential-Access-to-Secure-Cloud-EHR"/>
    </rdf:Seq>
  </items>
 </channel>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/1157/Leveraging-semantic-context-to-establish-access-controls-for-secure-cloud-based-electronic-health-records">
  <title><![CDATA[Leveraging semantic context to establish access controls for secure cloud-based electronic health records]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/1157/Leveraging-semantic-context-to-establish-access-controls-for-secure-cloud-based-electronic-health-records</link>
  <description><![CDATA[With the continuous growth of cloud-based Electronic Health Record (EHR) systems and medical data, medical organizations are particularly concerned about storing patient data to provide fast services while adhering to privacy and security concerns. Existing EHR systems often face challenges in handling heterogeneous data and maintaining good performance with data growth. These systems mostly use relational databases or partially store data in a knowledge graph, making it challenging to handle...]]></description>
  <dc:date>2024-04-01</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/1058/Semantically-Rich-Differential-Access-to-Secure-Cloud-EHR">
  <title><![CDATA[Semantically Rich Differential Access to Secure Cloud EHR]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/1058/Semantically-Rich-Differential-Access-to-Secure-Cloud-EHR</link>
  <description><![CDATA[Existing Cloud-based Electronic Health Record (EHR) services face challenges in handling heterogeneous data and maintaining performance with large records since they often use a relational database or only partially store information in a graph database. We have developed a novel approach that allows fine-grained field-level security for Cloud EHRs to protect patient privacy and data security. Our graph-based EHR has been developed by integrating Attribute-based Encryption (ABE) with ontology...]]></description>
  <dc:date>2023-05-08</dc:date>
 </item>
</rdf:RDF>
