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 <channel rdf:about="http://ebiquity.umbc.edu//tags/html/?t=general+data+protection+regulation">
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  <title><![CDATA[UMBC ebiquity RSS Tag Search]]></title>
  <link><![CDATA[http://ebiquity.umbc.edu//tags/html/?t=general+data+protection+regulation]]></link>
  <description><![CDATA[UMBC ebiquity RSS Tag Search for general data protection regulation]]></description>
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      <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/1200/Automating-IoT-Data-Privacy-Compliance-by-Integrating-Knowledge-Graphs-With-Large-Language-Models"/>
      <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/1156/Privacy-Preserving-Data-Sharing-in-Agriculture-Enforcing-Policy-Rules-for-Secure-and-Confidential-Data-Synthesis"/>
      <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/1127/IoT-Reg-A-Comprehensive-Knowledge-Graph-for-Real-Time-IoT-Data-Privacy-Compliance"/>
      <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/1014/PriveTAB-Secure-and-Privacy-Preserving-sharing-of-Tabular-Data"/>
      <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/989/Analyzing-GDPR-compliance-in-Cloud-Services-privacy-policies-using-Textual-Fuzzy-Interpretive-Structural-Modeling-TFISM-"/>
      <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/889/Automating-GDPR-Compliance-using-Policy-Integrated-Blockchain"/>
      <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/843/An-Integrated-Knowledge-Graph-to-Automate-GDPR-and-PCI-DSS-Compliance"/>
      <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/827/A-Knowledge-Representation-of-Cloud-Data-controls-for-EU-GDPR-Compliance"/>
      <rdf:li resource="http://ebiquity.umbc.edu/resource/html/id/377/Ontology-for-EU-s-General-Data-Protection-Regulation-GDPR-"/>
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 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/1200/Automating-IoT-Data-Privacy-Compliance-by-Integrating-Knowledge-Graphs-With-Large-Language-Models">
  <title><![CDATA[Automating IoT Data Privacy Compliance by Integrating Knowledge Graphs With Large Language Models]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/1200/Automating-IoT-Data-Privacy-Compliance-by-Integrating-Knowledge-Graphs-With-Large-Language-Models</link>
  <description><![CDATA[Regulatory compliance is mandatory for Internet of Things (IoT) manufacturers, particularly under stringent frameworks such as the General Data Protection Regulation (GDPR), which governs the handling of personal data. We introduce a novel framework for automating IoT compliance verification by integrating a Large Language Model (LLM) with a domain-specific Knowledge Graph (KG). The framework achieves two primary objectives: 1) leveraging the LLM to interpret natural-language compliance queri...]]></description>
  <dc:date>2025-07-25</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/1156/Privacy-Preserving-Data-Sharing-in-Agriculture-Enforcing-Policy-Rules-for-Secure-and-Confidential-Data-Synthesis">
  <title><![CDATA[Privacy-Preserving Data Sharing in Agriculture: Enforcing Policy Rules for Secure and Confidential Data Synthesis]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/1156/Privacy-Preserving-Data-Sharing-in-Agriculture-Enforcing-Policy-Rules-for-Secure-and-Confidential-Data-Synthesis</link>
  <description><![CDATA[Big Data empowers the farming community with the information needed to optimize resource usage, increase productivity, and enhance the sustainability of agricultural practices. The use of Big Data in farming requires the collection and analysis of data from various sources such as sensors, satellites, and farmer surveys. While Big Data can provide the farming community with valuable insights and improve efficiency, there is significant concern regarding the security of this data as well as th...]]></description>
  <dc:date>2023-12-18</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/1127/IoT-Reg-A-Comprehensive-Knowledge-Graph-for-Real-Time-IoT-Data-Privacy-Compliance">
  <title><![CDATA[IoT-Reg: A Comprehensive Knowledge Graph for Real-Time IoT Data Privacy Compliance]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/1127/IoT-Reg-A-Comprehensive-Knowledge-Graph-for-Real-Time-IoT-Data-Privacy-Compliance</link>
  <description><![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 ...]]></description>
  <dc:date>2023-12-15</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/1014/PriveTAB-Secure-and-Privacy-Preserving-sharing-of-Tabular-Data">
  <title><![CDATA[PriveTAB : Secure and Privacy-Preserving sharing of Tabular Data]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/1014/PriveTAB-Secure-and-Privacy-Preserving-sharing-of-Tabular-Data</link>
  <description><![CDATA[Machine Learning has increased our ability to model large quantities of data efficiently in a short time. Machine learning approaches in many application domains require collecting large volumes of data from distributed sources and combining them. However, sharing of data from multiple sources leads to concerns about privacy. Privacy regulations like European Union's General Data Protection Regulation (GDPR) have specific requirements on when and how such data can be shared. Even when there a...]]></description>
  <dc:date>2022-04-24</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/989/Analyzing-GDPR-compliance-in-Cloud-Services-privacy-policies-using-Textual-Fuzzy-Interpretive-Structural-Modeling-TFISM-">
  <title><![CDATA[Analyzing GDPR compliance in Cloud Services' privacy policies using Textual Fuzzy Interpretive Structural Modeling (TFISM)]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/989/Analyzing-GDPR-compliance-in-Cloud-Services-privacy-policies-using-Textual-Fuzzy-Interpretive-Structural-Modeling-TFISM-</link>
  <description><![CDATA[Cloud Service providers must comply with data protection regulations, like European Union (EU) General Data Protection Regulation (GDPR), to ensure their users' personal data security and privacy. Hence, the service privacy policies and terms of service documents refer to the rules it complies with within the data protection regulation. However, these documents contain legalese jargon that requires significant manual effort to parse and confirm compliance. We have developed a novel methodolog...]]></description>
  <dc:date>2021-09-06</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/889/Automating-GDPR-Compliance-using-Policy-Integrated-Blockchain">
  <title><![CDATA[Automating GDPR Compliance using Policy Integrated Blockchain]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/889/Automating-GDPR-Compliance-using-Policy-Integrated-Blockchain</link>
  <description><![CDATA[Data protection regulations, like GDPR, mandate security controls to secure personal identifiable information (PII) of the users which they share with service providers. With the volume of shared data reaching exascale proportions, it is challenging to ensure GDPR compliance in real time. We propose a novel approach that integrates GDPR ontology with blockchain to facilitate real time automated data compliance. Our framework ensures data operation is allowed only when validated by data privac...]]></description>
  <dc:date>2020-05-26</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/843/An-Integrated-Knowledge-Graph-to-Automate-GDPR-and-PCI-DSS-Compliance">
  <title><![CDATA[An Integrated Knowledge Graph to Automate GDPR and PCI DSS Compliance]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/843/An-Integrated-Knowledge-Graph-to-Automate-GDPR-and-PCI-DSS-Compliance</link>
  <description><![CDATA[Big data analytics related to consumer behavior,
market analysis, opinions, and recommendation often deal with
end user's derived and inferred data, along with the observed
data. To ensure consumer data protection, rules defined by the
European Union’s General Data Protection Regulation (EU
GDPR) must be adhered to by every organization
using Personally Identifiable Information (PII) data for Big
Data analysis. Similarly, Payment Card Industry Data Security
Standard (PCI DSS) has po...]]></description>
  <dc:date>2018-12-11</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/827/A-Knowledge-Representation-of-Cloud-Data-controls-for-EU-GDPR-Compliance">
  <title><![CDATA[A Knowledge Representation of Cloud Data controls for EU GDPR Compliance]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/827/A-Knowledge-Representation-of-Cloud-Data-controls-for-EU-GDPR-Compliance</link>
  <description><![CDATA[The rollout of European Union’s General Data Protection Regulation (EU GDPR) will have a far-reaching effect on Cloud data privacy and compliance for both the Cloud Service Providers (Data Providers) and the Consumers (Data Consumers). GDPR mandates that organizations collecting and processing information related to EU citizens adhere to its articles irrespective of where they are located or where the data is stored. This regulation is currently available only in the textual format and so r...]]></description>
  <dc:date>2018-07-06</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/resource/html/id/377/Ontology-for-EU-s-General-Data-Protection-Regulation-GDPR-">
  <title><![CDATA[Ontology for EU's General Data Protection Regulation (GDPR)]]></title>
  <link>http://ebiquity.umbc.edu/resource/html/id/377/Ontology-for-EU-s-General-Data-Protection-Regulation-GDPR-</link>
  <description><![CDATA[Ontology describing articles and  security controls for EU's General Data Protection Regulation (GDPR) . It includes the corresponding Cloud Security Alliance (CSA) controls]]></description>
  <dc:date>2018-03-07</dc:date>
 </item>
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