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 <channel rdf:about="http://ebiquity.umbc.edu//tags/html/?t=pii">
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      <rdf:li resource="http://ebiquity.umbc.edu/project/html/id/107/Data-Privacy-management-using-Policy-compliant-Blockchain-structures"/>
      <rdf:li resource="http://ebiquity.umbc.edu/project/html/id/111/Medical-Device-Regulatory-Compliance"/>
      <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/1212/TRUCE-TRUsted-Compliance-Enforcement-Service-for-Secure-Health-Data-Exchange"/>
      <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/1186/MedReg-KG-KnowledgeGraph-for-Streamlining-Medical-Device-Regulatory-Compliance"/>
      <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/961/Measuring-Semantic-Similarity-across-EU-GDPR-Regulation-and-Cloud-Privacy-Policies"/>
      <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/825/A-Semantically-Rich-Knowledge-Representation-of-PCI-DSS-for-Cloud-Services"/>
      <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/814/Link-Before-You-Share-Managing-Privacy-Policies-through-Blockchain"/>
      <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/764/Semantic-Approach-to-Automating-Management-of-Big-Data-Privacy-Policies"/>
      <rdf:li resource="http://ebiquity.umbc.edu/resource/html/id/370/Ontology-for-Data-Privacy-Policy"/>
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 <item rdf:about="http://ebiquity.umbc.edu/project/html/id/107/Data-Privacy-management-using-Policy-compliant-Blockchain-structures">
  <title><![CDATA[Data Privacy management using Policy compliant Blockchain structures]]></title>
  <link>http://ebiquity.umbc.edu/project/html/id/107/Data-Privacy-management-using-Policy-compliant-Blockchain-structures</link>
  <description><![CDATA[An important requirement of any information management system is to protect data and resources against leak or improper modifications, while at the same time ensure data availability to legitimate users. Moreover, systems handling personal data must also track its provenance and be regularly audited to comply with regulations. By assuring auditable, privacy policy compliant actions, we can also guarantee that areas where privacy policies have been technically enforced are highlighted.

As p...]]></description>
  <dc:date>2016-02-01</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/project/html/id/111/Medical-Device-Regulatory-Compliance">
  <title><![CDATA[Medical Device Regulatory Compliance]]></title>
  <link>http://ebiquity.umbc.edu/project/html/id/111/Medical-Device-Regulatory-Compliance</link>
  <description><![CDATA[Healthcare providers are deploying a large number of AI-driven Medical devices to help monitor and medicate patients. For patients with chronic ailments, like diabetes or gastric diseases, usage of these devices becomes part of their daily lifestyle. These medical devices often capture personally identifiable information (PII) and hence are strictly regulated by the Food and Drug Administration (FDA) to ensure the safety and efficacy of the medical device. Medical device regulations are curre...]]></description>
  <dc:date>2023-08-01</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/1212/TRUCE-TRUsted-Compliance-Enforcement-Service-for-Secure-Health-Data-Exchange">
  <title><![CDATA[TRUCE: TRUsted Compliance Enforcement Service for Secure Health Data Exchange]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/1212/TRUCE-TRUsted-Compliance-Enforcement-Service-for-Secure-Health-Data-Exchange</link>
  <description><![CDATA[Organizations are increasingly sharing large volumes of sensitive Personally Identifiable Information (PII), like health records, with each other to better manage their services. Protecting PII data has become increasingly important in today's digital age, and several regulations have been formulated to ensure the secure exchange and management of sensitive personal data. However, at times some of these regulations are at loggerheads with each other, like the Health Insurance Portability and ...]]></description>
  <dc:date>2025-12-09</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/1186/MedReg-KG-KnowledgeGraph-for-Streamlining-Medical-Device-Regulatory-Compliance">
  <title><![CDATA[MedReg-KG: KnowledgeGraph for Streamlining Medical Device Regulatory Compliance]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/1186/MedReg-KG-KnowledgeGraph-for-Streamlining-Medical-Device-Regulatory-Compliance</link>
  <description><![CDATA[Healthcare providers are deploying a large number
of AI-driven Medical devices to help monitor and medicate
patients. For patients with chronic ailments, like diabetes or
gastric diseases, usage of these devices becomes part of their
daily lifestyle. These medical devices often capture personally
identifiable information (PII) and hence are strictly regulated by
the Food and Drug Administration (FDA) to ensure the safety
and efficacy of the medical device. Medical device regulations
a...]]></description>
  <dc:date>2024-12-15</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/961/Measuring-Semantic-Similarity-across-EU-GDPR-Regulation-and-Cloud-Privacy-Policies">
  <title><![CDATA[Measuring Semantic Similarity across EU GDPR Regulation and Cloud Privacy Policies]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/961/Measuring-Semantic-Similarity-across-EU-GDPR-Regulation-and-Cloud-Privacy-Policies</link>
  <description><![CDATA[Data protection authorities formulate policies and rules which the service providers have to comply with to ensure security and privacy when they perform Big Data analytics using users Personally Identifiable Information (PII). The knowledge contained in the data regulations and organizational privacy policies are typically maintained as short unstructured text in HTML or PDF formats. Hence it is an open challenge to determine the specific regulation rules that are being addressed by a provid...]]></description>
  <dc:date>2020-12-13</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/825/A-Semantically-Rich-Knowledge-Representation-of-PCI-DSS-for-Cloud-Services">
  <title><![CDATA[A Semantically Rich Knowledge Representation of PCI DSS for Cloud Services]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/825/A-Semantically-Rich-Knowledge-Representation-of-PCI-DSS-for-Cloud-Services</link>
  <description><![CDATA[Organizations often use Cloud based services to manage their financial transactions, like fees payment, invoice payment etc., with their end users. These services allow payment using credit cards and thus need to adhere to the Payment Card Industry Data Security Standard (PCI DSS) standard. To effectively manage this policy, educational institutions dealing with card transaction currently monitor their payment gateway flow manually in order to be compliant. We propose a novel approach to auto...]]></description>
  <dc:date>2018-05-24</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/814/Link-Before-You-Share-Managing-Privacy-Policies-through-Blockchain">
  <title><![CDATA[Link Before You Share: Managing Privacy Policies through Blockchain]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/814/Link-Before-You-Share-Managing-Privacy-Policies-through-Blockchain</link>
  <description><![CDATA[With the advent of numerous online content providers, utilities and applications, each with their own specific version of privacy policies and its associated overhead, it is becoming increasingly difficult for concerned users to manage and track the confidential information that they share with the providers. We have developed a novel framework to
automatically track details about how a user's PII is stored, used and shared by the provider. We have integrated our data privacy ontology with t...]]></description>
  <dc:date>2017-12-14</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/764/Semantic-Approach-to-Automating-Management-of-Big-Data-Privacy-Policies">
  <title><![CDATA[Semantic Approach to Automating Management of Big Data Privacy Policies]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/764/Semantic-Approach-to-Automating-Management-of-Big-Data-Privacy-Policies</link>
  <description><![CDATA[Ensuring the privacy of Big Data managed on the cloud is critical to ensure consumer confidence. Cloud providers publish privacy policy documents outlining the steps they take to ensure data and consumer privacy. These documents are available as large text documents that require manual effort and time to track and manage. We have developed a semantically rich ontology to describe the privacy policy documents and built a database of several policy documents as instances of this ontology. We ne...]]></description>
  <dc:date>2016-12-02</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/resource/html/id/370/Ontology-for-Data-Privacy-Policy">
  <title><![CDATA[Ontology for Data Privacy Policy]]></title>
  <link>http://ebiquity.umbc.edu/resource/html/id/370/Ontology-for-Data-Privacy-Policy</link>
  <description><![CDATA[We have developed a detailed ontology, using semantic web language OWL, to define the range of information that should be included in the Privacy Policy documents. This ontology can be used by user communities to determine their privacy policies for using applications in the E-Commerce, Big Data and Cloud Computing domain.]]></description>
  <dc:date>2016-10-30</dc:date>
 </item>
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