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	<pub:InProceedings rdf:about="http://ebiquity.umbc.edu/paper/html/id/1127/IoT-Reg-A-Comprehensive-Knowledge-Graph-for-Real-Time-IoT-Data-Privacy-Compliance">
		<rdfs:label><![CDATA[IoT-Reg: A Comprehensive Knowledge Graph for Real-Time IoT Data Privacy Compliance]]></rdfs:label>
		<pub:title><![CDATA[IoT-Reg: A Comprehensive Knowledge Graph for Real-Time IoT Data Privacy Compliance]]></pub:title>
		<pub:publishedOn rdf:datatype="&xsd;dateTime">2023-12-15T00:00:00-05:00</pub:publishedOn>
		<pub:abstract><![CDATA[The proliferation of the Internet of Things (IoT) has led to an exponential increase in data generation, especially from wearable IoT devices. While this data influx offers unparalleled insights and connectivity, it also brings significant privacy and security challenges. Existing regulatory frameworks like the United States (US) National Institute of Standards and Technology Interagency or Internal Report (NISTIR) 8228, the US Health Insurance Portability and Accountability Act (HIPAA), and the European Union (EU) General Data Protection Regulation (GDPR) aim to address these challenges but often operate in isolation, making their compliance in the vast IoT ecosystem
inconsistent. This paper presents the IoT-Reg ontology, a holistic semantic framework that amalgamates these regulations, offering
a stratified approach based on the IoT data lifecycle stages and providing a comprehensive yet granular approach to IoT data
handling practices. The IoT-Reg ontology aims to transform the IoT domain into a realm where regulatory controls are
seamlessly integrated system components by emphasizing risk management, compliance, and the pivotal role of manufacturers’
privacy policies, ensuring consistent adherence, enhancing user trust, and promoting a privacy-centric IoT environment. We
include the results of validating this framework against risk mitigation for Wearable IoT devices.]]></pub:abstract>
		<pub:organization><![CDATA[IEEE]]></pub:organization>
		<pub:counter>2717</pub:counter>
		<pub:tag><![CDATA[iot]]></pub:tag>
		<pub:tag><![CDATA[privacy]]></pub:tag>
		<pub:tag><![CDATA[regulations]]></pub:tag>
		<pub:tag><![CDATA[semantic interoperability]]></pub:tag>
		<pub:tag><![CDATA[wearables]]></pub:tag>
		<pub:booktitle><![CDATA[IEEE Big Data 2023, 3rd Workshop on Knowledge Graphs and Big Data]]></pub:booktitle>
		<pub:publisher><![CDATA[IEEE]]></pub:publisher>
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					<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>
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							<person:Person rdf:about="http://ebiquity.umbc.edu/person/html/Kelvin/Echenim"><person:name><![CDATA[Kelvin Echenim]]></person:name><rdfs:label><![CDATA[Kelvin Echenim]]></rdfs:label></person:Person>
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<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:relatedProject><project:PastProject rdf:about="http://ebiquity.umbc.edu/project/html/id/105/ALDA-Automated-Legal-Document-Analytics"><project:title><![CDATA[ALDA: Automated Legal Document Analytics]]></project:title><rdfs:label><![CDATA[ALDA: Automated Legal Document Analytics]]></rdfs:label></project:PastProject></pub:relatedProject>
		<pub:softCopy><pub:SoftCopy>
			<pub:softCopyFormat><![CDATA[PDF Document]]></pub:softCopyFormat>
			<pub:softCopyURI><![CDATA[http://ebiquity.umbc.edu/get/a/publication/1282.pdf]]></pub:softCopyURI>
			<pub:softCopySize>730712</pub:softCopySize>
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