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  <title><![CDATA[UMBC ebiquity RSS Tag Search]]></title>
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      <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/1010/Trusted-Compliance-Enforcement-Framework-for-Sharing-Health-Big-Data"/>
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 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/1193/Real-Time-Detection-of-Online-Health-Misinformation-using-an-Integrated-Knowledgegraph-LLM-Approach">
  <title><![CDATA[Real-Time Detection of Online Health Misinformation using an Integrated Knowledgegraph-LLM Approach]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/1193/Real-Time-Detection-of-Online-Health-Misinformation-using-an-Integrated-Knowledgegraph-LLM-Approach</link>
  <description><![CDATA[Winner of Best Student Paper Award 
The dramatic surge of health misinformation on social media platforms poses a significant threat to public health, contributing to hesitancy in vaccines, delayed medical interventions, and the adoption of untested or harmful treatments. We present a novel, hybrid AI-driven framework designed for the real-time detection of health misinformation on social media platforms while prioritizing user privacy. The framework integrates the strengths of Large Langua...]]></description>
  <dc:date>2025-07-11</dc:date>
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 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/1010/Trusted-Compliance-Enforcement-Framework-for-Sharing-Health-Big-Data">
  <title><![CDATA[Trusted Compliance Enforcement Framework for Sharing Health Big Data]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/1010/Trusted-Compliance-Enforcement-Framework-for-Sharing-Health-Big-Data</link>
  <description><![CDATA[COVID pandemic management via contact tracing and vaccine distribution has resulted in a large volume and high velocity of Health-related data being collected and exchanged among various healthcare providers, regulatory and government agencies, and people. This unprecedented sharing of sensitive health-related Big Data has raised technical challenges of ensuring robust data exchange while adhering to security and privacy regulations. We have developed a semantically rich and trusted Complianc...]]></description>
  <dc:date>2021-12-15</dc:date>
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 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/851/Anomaly-Detection-Models-for-Smart-Home-Security">
  <title><![CDATA[Anomaly Detection Models for Smart Home Security]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/851/Anomaly-Detection-Models-for-Smart-Home-Security</link>
  <description><![CDATA[Recent years have seen significant growth in the adoption of smart homes devices. These devices provide convenience, security, and energy efficiency to users. For example, smart security cameras can detect unauthorized movements, and smoke sensors can detect potential fire accidents. However, many recent examples have shown that they open up a new cyber threat surface. There have been several recent examples of smart devices being hacked for privacy violations and also misused so as to perfor...]]></description>
  <dc:date>2019-04-09</dc:date>
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  <title><![CDATA[Managing and Securing Critical Infrastructure - A Semantic Policy and Trust Driven Approach]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/576/Managing-and-Securing-Critical-Infrastructure-A-Semantic-Policy-and-Trust-Driven-Approach</link>
  <description><![CDATA[Cyber-physical systems (CPS) and cyber infrastructure are key elements of the national infrastructure, and securing them is of vital importance to national security. There is ample evidence that these systems are vulnerable to disruption and damage due to natural disasters, social crises, and terrorism. CPS applications are becoming more widespread, ranging from healthcare patient monitoring systems to autonomous vehicles to integrated electrical power grids. Often, the new application domain...]]></description>
  <dc:date>2012-01-15</dc:date>
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 <item rdf:about="http://ebiquity.umbc.edu/resource/html/id/387/What-generative-AI-systems-know-about-cybersecurity">
  <title><![CDATA[What generative AI systems know about cybersecurity]]></title>
  <link>http://ebiquity.umbc.edu/resource/html/id/387/What-generative-AI-systems-know-about-cybersecurity</link>
  <description><![CDATA[The public release of OpenA's ChatGPT system in November 2022 signaled an inflection point for AI technology and its applications. While these AI systems have well-known shortcomings, they have the potential to help in many ways. After describing the technology, I  report on a recent evaluation of OpenAI's ChatGPT and Google's Bard ability to solve cybersecurity problems using two datasets designed to test students' knowledge: the Cybersecurity Concept Inventory (CCI) and the Cybersecurity Cu...]]></description>
  <dc:date>2023-10-12</dc:date>
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 <item rdf:about="http://ebiquity.umbc.edu/resource/html/id/390/What-generative-AI-systems-know-about-cybersecurity">
  <title><![CDATA[What generative AI systems know about cybersecurity]]></title>
  <link>http://ebiquity.umbc.edu/resource/html/id/390/What-generative-AI-systems-know-about-cybersecurity</link>
  <description><![CDATA[The public release of OpenAI's ChatGPT system eight months ago signaled an inflection point for AI technology and its applications. While these AI systems have well-known shortcomings, they have the potential to help in many ways. After describing the technology, I will report on a recent evaluation of OpenAI's ChatGPT and Google's Bard ability to solve cybersecurity problems using two datasets designed to test students' knowledge: the Cybersecurity Concept Inventory (CCI) and the Cybersecuri...]]></description>
  <dc:date>2023-09-07</dc:date>
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