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	<pub:InProceedings rdf:about="http://ebiquity.umbc.edu/paper/html/id/1222/Ontology-Driven-Agentic-System-for-Automating-Security-Compliance-in-Medical-Cyber-Physical-WBANs">
		<rdfs:label><![CDATA[Ontology Driven Agentic System for Automating Security Compliance in Medical Cyber-Physical WBANs]]></rdfs:label>
		<pub:title><![CDATA[Ontology Driven Agentic System for Automating Security Compliance in Medical Cyber-Physical WBANs]]></pub:title>
		<pub:publishedOn rdf:datatype="&xsd;dateTime">2026-07-13T00:00:00-05:00</pub:publishedOn>
		<pub:abstract><![CDATA[Medical Wireless Body Area Networks (WBANs)
operate as medical cyber-physical systems (MCPS) that continuously
sense and transmit sensitive patient health data, creating
significant security, privacy, and regulatory challenges. Traditional
WBAN protections focus on lightweight cryptography but
lack semantic reasoning and automated compliance of data regulations
such as Health Insurance Portability and Accountability
Act (HIPAA) and General Data Protection Regulation (GDPR).
We have developed a novel agentic framework that automates
the modeling, analysis, and verification of security, privacy,
and compliance properties in cyber-physical wireless body
area network (WBAN-CPS) medical systems. The framework
represents medical devices, data flows, threats, controls, and
regulatory obligations in OWL and operationalizes reasoning
through SWRL rules and SPARQL-based compliance queries. A
synthetic WBAN-CPS dataset instantiates the ontology, enabling
autonomous inference across cyber, physical, and regulatory layers.
The agentic architecture comprising a Risk Detection Agent,
Compliance Monitoring Agent, and Policy Enforcement Agent
collaboratively infers SecurityRisk, PrivacyRisk, ComplianceRisk,
and CPS-specific SafetyRisk in a representative medical use case.
The evaluation results show that the system provides high expressiveness,
regulatory adaptability, and explainability, outperforming
traditional WBAN security models. This work establishes
a semantic and regulation aware foundation for trustworthy and
secure medical cyber-physical systems.]]></pub:abstract>
		<pub:organization><![CDATA[IEEE]]></pub:organization>
		<pub:counter>67</pub:counter>
		<pub:tag><![CDATA[compliance]]></pub:tag>
		<pub:tag><![CDATA[cps security]]></pub:tag>
		<pub:tag><![CDATA[knowledge graphs]]></pub:tag>
		<pub:tag><![CDATA[medical devices]]></pub:tag>
		<pub:tag><![CDATA[ontology]]></pub:tag>
		<pub:tag><![CDATA[wban]]></pub:tag>
		<pub:booktitle><![CDATA[2026 IEEE International Conference on Digital Health (ICDH), 2026 IEEE World Congress on SERVICES]]></pub:booktitle>
		<pub:publisher><![CDATA[IEEE]]></pub:publisher>
		<pub:author>
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				<rdf:first>
					<person:Person rdf:about="http://ebiquity.umbc.edu/person/html/Karuna/Joshi"><person:name><![CDATA[Karuna Pande Joshi]]></person:name><rdfs:label><![CDATA[Karuna Pande Joshi]]></rdfs:label></person:Person>
				</rdf:first>
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						<rdf:first>
							<person:Person rdf:about="http://ebiquity.umbc.edu/person/html/Zeliatu/Ahmed"><person:name><![CDATA[Zeliatu Ahmed]]></person:name><rdfs:label><![CDATA[Zeliatu Ahmed]]></rdfs:label></person:Person>
						</rdf:first>
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		</pub:author>
		<pub:firstAuthor>
<person:Person rdf:about="http://ebiquity.umbc.edu/person/html/Karuna/Joshi"><person:name><![CDATA[Karuna Pande Joshi]]></person:name><rdfs:label><![CDATA[Karuna Pande Joshi]]></rdfs:label></person:Person>
		</pub:firstAuthor>
		<pub:softCopy><pub:SoftCopy>
			<pub:softCopyFormat><![CDATA[PDF Document]]></pub:softCopyFormat>
			<pub:softCopyURI><![CDATA[http://ebiquity.umbc.edu/get/a/publication/1498.pdf]]></pub:softCopyURI>
			<pub:softCopySize>560849</pub:softCopySize>
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	</pub:InProceedings>

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