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	This ontology document is licensed under the Creative Commons
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 <channel rdf:about="http://ebiquity.umbc.edu//tags/html/?t=privacy+policy">
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  <title><![CDATA[UMBC ebiquity RSS Tag Search]]></title>
  <link><![CDATA[http://ebiquity.umbc.edu//tags/html/?t=privacy+policy]]></link>
  <description><![CDATA[UMBC ebiquity RSS Tag Search for privacy policy]]></description>
  <items>
    <rdf:Seq>
      <rdf:li resource="http://ebiquity.umbc.edu/event/html/id/411/Masters-Thesis-Research-Proposal-Dibyajyoti-Ghosh-and-Sumit-More"/>
      <rdf:li resource="http://ebiquity.umbc.edu/event/html/id/198/Aware-Home"/>
      <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/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/1111/Ensuring-Privacy-Policy-Compliance-of-Wearables-with-IoT-Regulations"/>
      <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/993/The-Effect-of-Text-Ambiguity-on-creating-Policy-Knowledge-Graphs"/>
      <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/847/Automating-Privacy-Compliance-Using-Policy-Integrated-Blockchain"/>
      <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/777/A-Deep-Learning-Approach-to-Understanding-Cloud-Service-Level-Agreements-"/>
      <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/paper/html/id/724/Automatic-Extraction-of-Metrics-from-SLAs-for-Cloud-Service-Management"/>
      <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/event/html/id/411/Masters-Thesis-Research-Proposal-Dibyajyoti-Ghosh-and-Sumit-More">
  <title><![CDATA[Masters Thesis Research Proposal: Dibyajyoti Ghosh and Sumit More]]></title>
  <link>http://ebiquity.umbc.edu/event/html/id/411/Masters-Thesis-Research-Proposal-Dibyajyoti-Ghosh-and-Sumit-More</link>
  <description><![CDATA[In this week's lab meeting we will have Dibyajyoti Ghosh and Sumit More talk about the research they will be pursuing for their Masters Thesis.

Dibyajyoti will be talking about "Mobile application centric privacy policy preservation through context aware middleware in smartphones". His work is a part of the NSF granted Platys project. More specifically, he will be taking up Pramod Jagtap's work. 
 
Existing mobile operating systems primarily offer permission based policies at install tim...]]></description>
  <dc:date>2011-10-04</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/event/html/id/198/Aware-Home">
  <title><![CDATA[Aware Home]]></title>
  <link>http://ebiquity.umbc.edu/event/html/id/198/Aware-Home</link>
  <description><![CDATA[The average age of the world population is growing rapidly, while the fastest growing segment of the population is adults over the age of 65. Compounded by this growth is an increase in longevity, escalating instances of age-related diseases such as Alzheimer’s and dementia. Supporting the ability for the elderly or people with disabilities to live at home longer is of both personal and economic benefit to the individual. We expect that emerging technologies can facilitate this process. Our...]]></description>
  <dc:date>2007-04-20</dc:date>
 </item>
 <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/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/1111/Ensuring-Privacy-Policy-Compliance-of-Wearables-with-IoT-Regulations">
  <title><![CDATA[Ensuring Privacy Policy Compliance of Wearables with IoT Regulations]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/1111/Ensuring-Privacy-Policy-Compliance-of-Wearables-with-IoT-Regulations</link>
  <description><![CDATA[In an era where wearables, particularly those in non-hospital settings, collect and transmit sensitive personal data, it is imperative to implement stringent privacy safeguards. The National Institute of Standards and Technology (NIST) Internal Report 8228 provides regulations for securing Internet of Things (IoT) devices, data, and the privacy of individuals. We have developed a novel framework for examining the privacy policies governing the data and information utilized by wearable devices...]]></description>
  <dc:date>2023-11-01</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/993/The-Effect-of-Text-Ambiguity-on-creating-Policy-Knowledge-Graphs">
  <title><![CDATA[The Effect of Text Ambiguity on creating Policy Knowledge Graphs]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/993/The-Effect-of-Text-Ambiguity-on-creating-Policy-Knowledge-Graphs</link>
  <description><![CDATA[A growing number of web and cloud-based products and services rely on data sharing between consumers, service providers, and their subsidiaries and third parties. There is a growing concern around the security and privacy of data in such large-scale shared architectures. Most organizations have a human-written privacy policy that discloses all the ways that data is shared, stored, and used. The organizational privacy policies must also be compliant with government and administrative regulatio...]]></description>
  <dc:date>2021-09-30</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/847/Automating-Privacy-Compliance-Using-Policy-Integrated-Blockchain">
  <title><![CDATA[Automating Privacy Compliance Using Policy Integrated Blockchain]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/847/Automating-Privacy-Compliance-Using-Policy-Integrated-Blockchain</link>
  <description><![CDATA[An essential requirement of any information management system is to protect data and
resources against breach or improper modifications, while at the same time ensuring data access to
legitimate users. Systems handling personal data are mandated to track its flow to comply with data
protection regulations. We have built a novel framework that integrates semantically rich data
privacy knowledge graph with Hyperledger Fabric blockchain technology, to develop an
automated access-control and...]]></description>
  <dc:date>2019-02-05</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/777/A-Deep-Learning-Approach-to-Understanding-Cloud-Service-Level-Agreements-">
  <title><![CDATA[A Deep Learning Approach to Understanding Cloud Service Level Agreements]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/777/A-Deep-Learning-Approach-to-Understanding-Cloud-Service-Level-Agreements-</link>
  <description><![CDATA[Educational organizations, like Universities and School Systems, are rapidly adopting Cloud based services to provide Information Technology (IT) infrastructure to their students. These include course offerings, class materials, ​data storage, emailing and collaboration software, virtual computing environment, etc. Moreover, cloud providers, like Amazon, are also providing free computing credits targeted to students. The legal documents associated with cloud based
services, such as Service...]]></description>
  <dc:date>2017-05-24</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/paper/html/id/724/Automatic-Extraction-of-Metrics-from-SLAs-for-Cloud-Service-Management">
  <title><![CDATA[Automatic Extraction of Metrics from SLAs for Cloud Service Management]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/724/Automatic-Extraction-of-Metrics-from-SLAs-for-Cloud-Service-Management</link>
  <description><![CDATA[To effectively manage cloud based services, organizations need to continuously monitor the performance metrics listed in the Cloud service contracts. However, these legal documents, like Service Level Agreements (SLA) or privacy policy documents, are currently managed as plain text files meant principally for human consumption. Additionally, providers often define their own performance metrics for their services. These factors hinder the automation of SLA management and require manual effort ...]]></description>
  <dc:date>2016-04-04</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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