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 <channel rdf:about="http://ebiquity.umbc.edu//tags/html/?t=cybersecurity">
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      <rdf:li resource="http://ebiquity.umbc.edu/event/html/id/481/Are-you-in-control-or-being-controlled-in-your-vehicle-"/>
      <rdf:li resource="http://ebiquity.umbc.edu/event/html/id/475/Semantics-for-Cybersecurity-and-Privacy"/>
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      <rdf:li resource="http://ebiquity.umbc.edu/event/html/id/459/MS-defense-Social-Media-Analytics-Digital-Footprints"/>
      <rdf:li resource="http://ebiquity.umbc.edu/event/html/id/458/A-Collaborative-Approach-to-Situational-Awareness-for-CyberSecurity"/>
      <rdf:li resource="http://ebiquity.umbc.edu/event/html/id/452/A-multilayer-framework-to-catch-data-exfiltration"/>
      <rdf:li resource="http://ebiquity.umbc.edu/event/html/id/451/Information-Extraction-of-Security-related-entities-and-concepts-from-unstructured-text"/>
      <rdf:li resource="http://ebiquity.umbc.edu/event/html/id/430/talk-Self-sustainable-Cyber-physical-System-Design"/>
      <rdf:li resource="http://ebiquity.umbc.edu/project/html/id/109/Accelerated-Cybersecurity"/>
      <rdf:li resource="http://ebiquity.umbc.edu/project/html/id/103/Automatic-Interpretation-of-Log-Files"/>
      <rdf:li resource="http://ebiquity.umbc.edu/project/html/id/104/Automatic-Interpretation-of-Log-Files"/>
      <rdf:li resource="http://ebiquity.umbc.edu/project/html/id/107/Data-Privacy-management-using-Policy-compliant-Blockchain-structures"/>
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      <rdf:li resource="http://ebiquity.umbc.edu/project/html/id/98/Semantic-Situational-Awareness-for-Intrusion-Detection"/>
      <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/1221/Deontic-Policies-for-Runtime-Governance-of-Agentic-AI-Systems"/>
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      <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/1179/KiNETGAN-Enabling-Distributed-Network-Intrusion-Detection-through-Knowledge-Infused-Synthetic-Data-Generation"/>
      <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/1073/An-Overview-of-Cybersecurity-Knowledge-Graphs-Mapped-to-the-MITRE-ATT-CK-Framework-Domains"/>
      <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/1135/Change-Management-using-Generative-Modeling-on-Digital-Twins"/>
      <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/1104/Knowledge-Enhanced-Neurosymbolic-Artificial-Intelligence-for-Cybersecurity-and-Privacy"/>
      <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/1132/Knowledge-Graphs-and-Reinforcement-Learning-A-Hybrid-Approach-for-Cybersecurity-Problems"/>
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      <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/1047/Knowledge-guided-Two-player-Reinforcement-Learning-for-Cyber-Attacks-and-Defenses"/>
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      <rdf:li resource="http://ebiquity.umbc.edu/resource/html/id/355/Annotations-of-Cybersecurity-blogs-and-articles"/>
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      <rdf:li resource="http://ebiquity.umbc.edu/resource/html/id/379/Cybersecurity-embeddings"/>
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      <rdf:li resource="http://ebiquity.umbc.edu/resource/html/id/384/Extracting-Malware-Information-from-Cybersecurity-Text"/>
      <rdf:li resource="http://ebiquity.umbc.edu/resource/html/id/393/Poster-AI-and-Cybersecurity-from-Research-to-the-Classroom"/>
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      <rdf:li resource="http://ebiquity.umbc.edu/resource/html/id/366/Semantics-for-Cybersecurity-and-Privacy"/>
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 <item rdf:about="http://ebiquity.umbc.edu/event/html/id/486/Modeling-and-Extracting-information-about-Cybersecurity-Events-from-Text">
  <title><![CDATA[Modeling and Extracting information about Cybersecurity Events from Text]]></title>
  <link>http://ebiquity.umbc.edu/event/html/id/486/Modeling-and-Extracting-information-about-Cybersecurity-Events-from-Text</link>
  <description><![CDATA[People rely on the Internet to carry out much of the their daily activities such as banking, ordering food and socializing with their family and friends. The technology facilitates our lives, but also comes with many problems, including cybercrimes, stolen data and identity theft. With the large and increasing number of transaction done every day, the frequency of cybercrime events is also increasing. Since the number of security-related events is too high for manual review and monitoring, we...]]></description>
  <dc:date>2017-05-16</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/event/html/id/481/Are-you-in-control-or-being-controlled-in-your-vehicle-">
  <title><![CDATA[Are you in control or being controlled in your vehicle?]]></title>
  <link>http://ebiquity.umbc.edu/event/html/id/481/Are-you-in-control-or-being-controlled-in-your-vehicle-</link>
  <description><![CDATA[Vehicles changed from being just mechanical devices which will just obey the commands to a smarter Sensor-ECU-Actuator systems which sense the surroundings and take necessary smart actions. A modern car has around forty to hundred different ECU’s, possibly communicating, to make intelligent decisions. But recently, there is a lot of buzz in the research community on hacking and taking control of vehicles. These literature describe and document the different ways to take control of vehicles....]]></description>
  <dc:date>2015-10-26</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/event/html/id/475/Semantics-for-Cybersecurity-and-Privacy">
  <title><![CDATA[Semantics for Cybersecurity and Privacy]]></title>
  <link>http://ebiquity.umbc.edu/event/html/id/475/Semantics-for-Cybersecurity-and-Privacy</link>
  <description><![CDATA[This short talk is for a panel on cybersecurity in UMBC's second Research Forum, part of a semi-annual series bringing together researchers and scientists from across the UMBC community and our partner institutions to establish and expand meaningful collaborations around common research themes.]]></description>
  <dc:date>2015-05-01</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/event/html/id/461/Extracting-cybersecurity-related-entities-terms-and-concepts-from-text">
  <title><![CDATA[Extracting cybersecurity related entities, terms and concepts from text]]></title>
  <link>http://ebiquity.umbc.edu/event/html/id/461/Extracting-cybersecurity-related-entities-terms-and-concepts-from-text</link>
  <description><![CDATA[Securing computers, data, cyber-physical systems and networks is a growing problem as society&#39;s dependence on them increases while they remain vulnerable to attacks by both criminals and rival nation states. Creating &#39;situationally aware&#39; computer systems that defend against new &quot;zero day&quot; software vulnerabilities requires them to automatically integrate and use new security-related data from a wide variety of sources. One important source is information found in text fr...]]></description>
  <dc:date>2013-05-28</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/event/html/id/459/MS-defense-Social-Media-Analytics-Digital-Footprints">
  <title><![CDATA[MS defense: Social Media Analytics: Digital Footprints]]></title>
  <link>http://ebiquity.umbc.edu/event/html/id/459/MS-defense-Social-Media-Analytics-Digital-Footprints</link>
  <description><![CDATA[In this work we describe an approach to distinguish real and impostor/ compromised accounts on social media. Compromising a user's social media account is not only a breach of security, but can also lead to dissemination of misinformation at a fast pace on social media. There have been several such high profile attacks recently, including on Twitter feeds of AP, CBS, and Delta Airlines. A fake account for the Prime Minister's Office in India was used to spread malicious rumors last year. Our ...]]></description>
  <dc:date>2013-05-13</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/event/html/id/458/A-Collaborative-Approach-to-Situational-Awareness-for-CyberSecurity">
  <title><![CDATA[A Collaborative Approach to Situational Awareness for CyberSecurity]]></title>
  <link>http://ebiquity.umbc.edu/event/html/id/458/A-Collaborative-Approach-to-Situational-Awareness-for-CyberSecurity</link>
  <description><![CDATA[Traditional intrusion detection and prevention systems (IDPSs) have well known limitations that decrease their utility against many kinds of attacks.  Current state-of-the-art IDPSs are point based solutions that perform a simple analysis of host or network data and then flag an alert.  Only known attacks whose signatures have been identified and stored in some form can be discovered by most of these systems.  They cannot detect attacks that use low-and-slow vectors.  Many times an attack is ...]]></description>
  <dc:date>2013-04-29</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/event/html/id/452/A-multilayer-framework-to-catch-data-exfiltration">
  <title><![CDATA[A multilayer framework to catch data exfiltration]]></title>
  <link>http://ebiquity.umbc.edu/event/html/id/452/A-multilayer-framework-to-catch-data-exfiltration</link>
  <description><![CDATA[Data exfiltration is the unauthorized leakage of confidential data from a particular system. It is nothing but a very specific form of intrusion which is particularly hard to catch due to the most common cause; an insider entity responsible for the leak. That entity could be a real person employed in the organization, or even a malicious hardware piece bought from an unreliable third party. Catching such intrusions therefore, can be extremely difficult. What is proposed is a framework with a ...]]></description>
  <dc:date>2013-04-08</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/event/html/id/451/Information-Extraction-of-Security-related-entities-and-concepts-from-unstructured-text">
  <title><![CDATA[Information Extraction of Security related entities and concepts from unstructured text]]></title>
  <link>http://ebiquity.umbc.edu/event/html/id/451/Information-Extraction-of-Security-related-entities-and-concepts-from-unstructured-text</link>
  <description><![CDATA[Cyber Security has been a big concern especially in past one decade where it is witnessed that targets ranging from large number of internet users to government agencies are being attacked because of vulnerabilities present in the system. Even though these vulnerabilities are identified and published publicly but response has always been slow in covering up these vulnerabilities because there is no automatic mechanism to understand and process this unstructured text that is published on inter...]]></description>
  <dc:date>2013-04-01</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/event/html/id/430/talk-Self-sustainable-Cyber-physical-System-Design">
  <title><![CDATA[talk: Self-sustainable Cyber-physical System Design]]></title>
  <link>http://ebiquity.umbc.edu/event/html/id/430/talk-Self-sustainable-Cyber-physical-System-Design</link>
  <description><![CDATA[Renewable energy can enable diverse self-sustainable cyber-physical systems with applications ranging from healthcare to off-grid home energy management. However, there are several challenges that need to be addressed before such systems can be realized. For instance, how do we balance the small and often variable energy budgets imposed by renewables with system functionality? How can we design sensitive physical sensors and efficient harvesting circuits for mW energy sources such as sound an...]]></description>
  <dc:date>2012-03-13</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/project/html/id/109/Accelerated-Cybersecurity">
  <title><![CDATA[Accelerated Cybersecurity]]></title>
  <link>http://ebiquity.umbc.edu/project/html/id/109/Accelerated-Cybersecurity</link>
  <description><![CDATA[We conduct cutting edge research to address the national and global challenges in Cybersecurity by leveraging Cognitive Computing approaches Accelerated to work in soft real time. We aim to create a platform for Academia, Industry and Government to collaborate seamlessly and to advance UMBCâ€™s position as a leading research university in cybersecurity-related disciplines. We are a member of IBMâ€™s AI Horizonâ€™s Network.]]></description>
  <dc:date>2016-09-01</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/project/html/id/103/Automatic-Interpretation-of-Log-Files">
  <title><![CDATA[Automatic Interpretation of Log Files]]></title>
  <link>http://ebiquity.umbc.edu/project/html/id/103/Automatic-Interpretation-of-Log-Files</link>
  <description><![CDATA[Log files comprise of different events happening in various applications, operating systems and even in network devices. Originally they were used to record information for diagnostic and debugging purposes. Nowadays, logs are also used to track events which can be used in auditing and forensics in case of malicious activities or systems attacks. Various softwares like intrusion detection systems, webservers, anti-virus and anti-malware systems, firewalls and network devices generate logs wit...]]></description>
  <dc:date>2013-08-01</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/project/html/id/104/Automatic-Interpretation-of-Log-Files">
  <title><![CDATA[Automatic Interpretation of Log Files]]></title>
  <link>http://ebiquity.umbc.edu/project/html/id/104/Automatic-Interpretation-of-Log-Files</link>
  <description><![CDATA[Log files comprise of different events happening in various applications, operating systems and even in network devices. Originally they were used to record information for diagnostic and debugging purposes. Nowadays, logs are also used to track events which can be used in auditing and forensics in case of malicious activities or systems attacks. Various softwares like intrusion detection systems, webservers, anti-virus and anti-malware systems, firewalls and network devices generate logs wit...]]></description>
  <dc:date>2013-08-01</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/project/html/id/112/Online-Health-Information">
  <title><![CDATA[Online Health Information]]></title>
  <link>http://ebiquity.umbc.edu/project/html/id/112/Online-Health-Information</link>
  <description><![CDATA[The rise of social media platforms as Online Health Information Sources (OHIS) has increased the spread of health misinformation in cyberspace. The rapid dissemination of false or misleading health information, particularly in public health, can have severe consequences. Misinformation not only endangers public health but also poses significant cybersecurity risks, including eroding trust in credible sources, enabling phishing attacks, and heightening the impact of cyber threats during crises...]]></description>
  <dc:date>2024-01-13</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/project/html/id/98/Semantic-Situational-Awareness-for-Intrusion-Detection">
  <title><![CDATA[Semantic Situational Awareness for Intrusion Detection]]></title>
  <link>http://ebiquity.umbc.edu/project/html/id/98/Semantic-Situational-Awareness-for-Intrusion-Detection</link>
  <description><![CDATA[We are developing a situation-aware intrusion detection system that integrates heterogeneous sources of information to build and maintain a semantically rich knowledge-base about cyber threats and vulnerabilities.  Most current intrusion detection and prevention systems rely on signature-based approaches to detect attacks. When an attack signature is not available, such as for a new exploit or a significantly modified known one, such systems are much less effective. Moreover, these intrusion ...]]></description>
  <dc:date>2011-01-01</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/1221/Deontic-Policies-for-Runtime-Governance-of-Agentic-AI-Systems">
  <title><![CDATA[Deontic Policies for Runtime Governance of Agentic AI Systems]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/1221/Deontic-Policies-for-Runtime-Governance-of-Agentic-AI-Systems</link>
  <description><![CDATA[Autonomous agentic AI systems driven by Large Language Models (LLMs) introduce a new class of security, privacy, and compliance challenges: an agent that can invoke tools, manipulate data, install software, and coordinate with peer agents across organizational boundaries must be constrained not just by authentication and access control, but by the full structure of enterprise governance. This includes specifying what agents are permitted and prohibited from doing, what they are obliged to do ...]]></description>
  <dc:date>2026-07-13</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/1210/Security-Compliance-for-Smart-Manufacturing-using-Knowledgegraph-based-Digital-Twin">
  <title><![CDATA[Security Compliance for Smart Manufacturing using Knowledgegraph based Digital Twin]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/1210/Security-Compliance-for-Smart-Manufacturing-using-Knowledgegraph-based-Digital-Twin</link>
  <description><![CDATA[The combination of Information Technology (IT) and Operational Technology (OT) in smart manufacturing, driven by smart factory innovations and Internet of Things (IoT) devices, generates vast, diverse, and rapidly evolving Big Data, which in turn increases cybersecurity and compliance issues. Adherence to security standards, such as NIST SP 800-171, which requires rigorous access control and audit reporting, is currently obstructed by the resource-intensive and error-prone aspects of manual e...]]></description>
  <dc:date>2025-12-11</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/1191/Integrating-Knowledge-Graphs-with-Retrieval-Augmented-Generation-to-Automate-IoT-Device-Security-Compliance">
  <title><![CDATA[Integrating Knowledge Graphs with Retrieval-Augmented Generation to Automate IoT Device Security Compliance]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/1191/Integrating-Knowledge-Graphs-with-Retrieval-Augmented-Generation-to-Automate-IoT-Device-Security-Compliance</link>
  <description><![CDATA[As IoT device adoption grows, ensuring cybersecurity compliance with IoT standards, like National Institute of Standards and Technology Interagency (NISTIR) 8259A, has become increasingly complex. These standards are typically presented in lengthy, text-based formats that are difficult to process and query automatically. We built a knowledge graph to address this challenge to represent the key concepts, relationships, and references within NISTIR 8259A. We further integrate this knowledge gra...]]></description>
  <dc:date>2025-07-14</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/1179/KiNETGAN-Enabling-Distributed-Network-Intrusion-Detection-through-Knowledge-Infused-Synthetic-Data-Generation">
  <title><![CDATA[KiNETGAN: Enabling Distributed Network Intrusion Detection through Knowledge-Infused Synthetic Data Generation]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/1179/KiNETGAN-Enabling-Distributed-Network-Intrusion-Detection-through-Knowledge-Infused-Synthetic-Data-Generation</link>
  <description><![CDATA[In the realm of IoT/CPS systems connected over mobile networks, traditional intrusion detection methods analyze network traffic across multiple devices using anomaly detection techniques to flag potential security threats. However, these methods face significant privacy challenges, particularly with deep packet inspection and network communication analysis. This type of monitoring is highly intrusive, as it involves examining the content of data packets, which can include personal and sensiti...]]></description>
  <dc:date>2024-05-26</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/1073/An-Overview-of-Cybersecurity-Knowledge-Graphs-Mapped-to-the-MITRE-ATT-CK-Framework-Domains">
  <title><![CDATA[An Overview of Cybersecurity Knowledge Graphs Mapped to the MITRE ATT&CK Framework Domains]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/1073/An-Overview-of-Cybersecurity-Knowledge-Graphs-Mapped-to-the-MITRE-ATT-CK-Framework-Domains</link>
  <description><![CDATA[A large volume of cybersecurity-related data sets
are generated daily from systems following disparate protocols
and standards. It is humanly impossible for cybersecurity experts
to manually sieve through these large data sets, with different
schema and metadata, to determine potential attacks or issues.
A myriad of applications and tool sets are offered to automate
the analysis of large cyber data sets. Semantic Web’s community
has been studying the field of cybersecurity for over a...]]></description>
  <dc:date>2023-10-03</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/1135/Change-Management-using-Generative-Modeling-on-Digital-Twins">
  <title><![CDATA[Change Management using Generative Modeling on Digital Twins]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/1135/Change-Management-using-Generative-Modeling-on-Digital-Twins</link>
  <description><![CDATA[A key challenge faced by small and medium-sized business entities is securely managing software updates and changes. Specifically, with rapidly evolving cybersecurity threats, changes/updates/patches to software systems are necessary to stay ahead of emerging threats and are often mandated by regulators or statutory authorities to counter these. However, security patches/updates require stress testing before they can be released in the production system. Stress testing in production environme...]]></description>
  <dc:date>2023-10-02</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/1104/Knowledge-Enhanced-Neurosymbolic-Artificial-Intelligence-for-Cybersecurity-and-Privacy">
  <title><![CDATA[Knowledge-Enhanced Neurosymbolic Artificial Intelligence for Cybersecurity and Privacy]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/1104/Knowledge-Enhanced-Neurosymbolic-Artificial-Intelligence-for-Cybersecurity-and-Privacy</link>
  <description><![CDATA[Neurosymbolic artificial intelligence (AI) is an emerging and quickly advancing field that
combines the subsymbolic strengths of (deep) neural networks and the explicit, symbolic
knowledge contained in knowledge graphs (KGs) to enhance explainability and safety in
AI systems. This approach addresses a key criticism of current generation systems,
namely, their inability to generate human-understandable explanations for their
outcomes and ensure safe behaviors, especially in scenarios with...]]></description>
  <dc:date>2023-09-01</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/1132/Knowledge-Graphs-and-Reinforcement-Learning-A-Hybrid-Approach-for-Cybersecurity-Problems">
  <title><![CDATA[Knowledge Graphs and Reinforcement Learning: A Hybrid Approach for Cybersecurity Problems]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/1132/Knowledge-Graphs-and-Reinforcement-Learning-A-Hybrid-Approach-for-Cybersecurity-Problems</link>
  <description><![CDATA[With the explosion of available data and computational power, machine learning and deep learning techniques are being increasingly used to solve problems. The domain of cybersecurity is no exception, as we have seen multiple papers in the recent past using data-driven machine learning approaches for different tasks.

Rule-based and supervised machine learning-based approaches are often brittle in detecting attacks, can be defeated by adversaries that adapt, and cannot use the knowledge of e...]]></description>
  <dc:date>2023-07-19</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/1053/Offline-RL-CKG-A-hybrid-AI-model-for-cybersecurity-tasks">
  <title><![CDATA[Offline RL+CKG: A hybrid AI model for cybersecurity tasks]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/1053/Offline-RL-CKG-A-hybrid-AI-model-for-cybersecurity-tasks</link>
  <description><![CDATA[AI models for cybersecurity have to detect and defend against constantly evolving cyber threats. Much effort is spent building defenses for zero days and unseen variants of known cyber-attacks. Current AI models for cybersecurity struggle with these yet unseen threats due to the constantly evolving nature of threat vectors, vulnerabilities, and exploits. This paper shows that cybersecurity AI models will be improved and more general if we include semi-structured representations of background ...]]></description>
  <dc:date>2023-03-27</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/1047/Knowledge-guided-Two-player-Reinforcement-Learning-for-Cyber-Attacks-and-Defenses">
  <title><![CDATA[Knowledge guided Two-player Reinforcement Learning for Cyber Attacks and Defenses]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/1047/Knowledge-guided-Two-player-Reinforcement-Learning-for-Cyber-Attacks-and-Defenses</link>
  <description><![CDATA[Cyber defense exercises are an important avenue to understand the technical capacity of organizations when faced with cyber threats. Information derived from these exercises often leads to finding unseen methods to exploit vulnerabilities in an organization. These often lead to better defense mechanisms that can counter previously unknown exploits. With recent developments in cyber battle simulation platforms, we can generate a defense exercise environment and train reinforcement learning (RL...]]></description>
  <dc:date>2022-12-12</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/research/area/id/36/Question-and-Answering-QnA-System">
  <title><![CDATA[Question and Answering (QnA) System]]></title>
  <link>http://ebiquity.umbc.edu/research/area/id/36/Question-and-Answering-QnA-System</link>
  <description><![CDATA[Our research focuses on developing new techniques and approaches to developing Question and Answer (QnA) systems. We focus on developing semantically rich , policy based applications that cater to a variety of domains like cybersecurity and Legal/Compliance.]]></description>
  <dc:date>2026-09-12</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/resource/html/id/382/A-Dynamic-Pipeline-for-Cybersecurity-Information-Extraction-and-Understanding">
  <title><![CDATA[A Dynamic Pipeline for Cybersecurity Information Extraction and Understanding]]></title>
  <link>http://ebiquity.umbc.edu/resource/html/id/382/A-Dynamic-Pipeline-for-Cybersecurity-Information-Extraction-and-Understanding</link>
  <description><![CDATA[This work was funded, in part, by a grant from the NSA through the On-Ramp program
and by the National Science Foundation under Grant Number 2114892.]]></description>
  <dc:date>2021-10-14</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/resource/html/id/355/Annotations-of-Cybersecurity-blogs-and-articles">
  <title><![CDATA[Annotations of Cybersecurity blogs and articles]]></title>
  <link>http://ebiquity.umbc.edu/resource/html/id/355/Annotations-of-Cybersecurity-blogs-and-articles</link>
  <description><![CDATA[This data is the result of a Master Thesis Project by Ravendar Lal under the supervision of Dr. Tim Finin. This dataset can be used for training technical systems. This dataset consists of manually data for cybersecurity domain where this data collection has the articles from CVES, Adobe Security Bulletins, Microsoft Security Bulletins and various blog posts. Total data has over 45,000 tokens and 5,000 tagged entities. Annotation was done by the Graduate Students of Computer Science Departmen...]]></description>
  <dc:date>2013-05-30</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/resource/html/id/396/Collaborative-Research-EAGER-SaTC-EDU-AI-and-Cybersecurity-from-Research-to-the-Classroom">
  <title><![CDATA[Collaborative Research: EAGER SaTC-EDU: AI and Cybersecurity: from Research to the Classroom]]></title>
  <link>http://ebiquity.umbc.edu/resource/html/id/396/Collaborative-Research-EAGER-SaTC-EDU-AI-and-Cybersecurity-from-Research-to-the-Classroom</link>
  <description><![CDATA[Poster presented at the 6th NSF Secure and Trustworthy Cyberspace Principal Investigator Meeting held in Pittsburg, PA on September 4-5, 2024.

This collaborative project between the University of Maryland, Baltimore County (UMBC) and the University of Illinois Urbana-Champaign (UIUC) addresses the research and educational aspects of combining AI and Cybersecurity. Our goals are to (1) carry out novel research on applying the latest AI techniques to cybersecurity problems and explore how at...]]></description>
  <dc:date>2024-09-04</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/resource/html/id/379/Cybersecurity-embeddings">
  <title><![CDATA[Cybersecurity embeddings]]></title>
  <link>http://ebiquity.umbc.edu/resource/html/id/379/Cybersecurity-embeddings</link>
  <description><![CDATA[This is a word embedding model produced by Dr. Youngja Park of IBM Research using word2vec applied to a collection of one million documents found on the Web relevant to cybersecurity.  Tokenization was done using whitespace, resulting in 917,213,530 tokens of which 6,417,554 were unique. The word2 vec model has 100 dimensions and a vocabulary of 1,013,092 terms.  If you use this model in your research, please cite this document to refer to the model.

Ankur Padia, Arpita Roy, Taneeya Satyap...]]></description>
  <dc:date>2018-04-01</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/resource/html/id/359/Extracting-Cybersecurity-related-entities-terms-and-concepts-from-text-">
  <title><![CDATA[Extracting Cybersecurity related entities, terms and concepts from text.]]></title>
  <link>http://ebiquity.umbc.edu/resource/html/id/359/Extracting-Cybersecurity-related-entities-terms-and-concepts-from-text-</link>
  <description><![CDATA[MS Thesis Presentation

Securing computers, data, cyber-physical systems and networks is a growing problem as society's dependence on them increases while they remain vulnerable to attacks by both criminals and rival nation states. Creating 'situationally aware' computer systems that defend against new "zero day" software vulnerabilities requires them to automatically integrate and use new security-related data from a wide variety of sources. One important source is information found in tex...]]></description>
  <dc:date>2013-05-30</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/resource/html/id/384/Extracting-Malware-Information-from-Cybersecurity-Text">
  <title><![CDATA[Extracting Malware Information from Cybersecurity Text]]></title>
  <link>http://ebiquity.umbc.edu/resource/html/id/384/Extracting-Malware-Information-from-Cybersecurity-Text</link>
  <description><![CDATA[Presentation given at the OnRamp II Symposium, 13-14 October 2021.

This work was funded, in part, by a grant from the NSA through the On-Ramp program and by the National Science Foundation under Grant Number 2114892.]]></description>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/resource/html/id/393/Poster-AI-and-Cybersecurity-from-Research-to-the-Classroom">
  <title><![CDATA[Poster: AI and Cybersecurity: from Research to the Classroom]]></title>
  <link>http://ebiquity.umbc.edu/resource/html/id/393/Poster-AI-and-Cybersecurity-from-Research-to-the-Classroom</link>
  <description><![CDATA[This collaborative project between the University of Maryland, Baltimore County (UMBC) and the University of Illinois Urbana-Champaign (UIUC) addresses the research and educational aspects of combining AI and Cybersecurity. Our goals are to (1) carry out novel research on applying the latest AI techniques to cybersecurity problems and explore how attacks on AI systems can be mitigated, (2) extend our innovative work on evaluating students understanding of the underlying security concepts to i...]]></description>
  <dc:date>2024-09-04</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/resource/html/id/381/Semantic-Knowledge-Graphs-for-Cybersecurity">
  <title><![CDATA[Semantic Knowledge Graphs for Cybersecurity]]></title>
  <link>http://ebiquity.umbc.edu/resource/html/id/381/Semantic-Knowledge-Graphs-for-Cybersecurity</link>
  <dc:date>2020-06-23</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/resource/html/id/366/Semantics-for-Cybersecurity-and-Privacy">
  <title><![CDATA[Semantics for Cybersecurity and Privacy]]></title>
  <link>http://ebiquity.umbc.edu/resource/html/id/366/Semantics-for-Cybersecurity-and-Privacy</link>
  <description><![CDATA[Presentation slides for a short talk for a panel on cybersecurity in UMBC's second Research Forum, part of a semi-annual series bringing together researchers and scientists from across the UMBC community and our partner institutions to establish and expand meaningful collaborations around common research themes.]]></description>
  <dc:date>2015-05-01</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/resource/html/id/327/situational-awareness-for-cybersecurity">
  <title><![CDATA[situational awareness for cybersecurity]]></title>
  <link>http://ebiquity.umbc.edu/resource/html/id/327/situational-awareness-for-cybersecurity</link>
  <description><![CDATA[We describe a current project    aimed at developing a situational awareness framework to (1) detect potential new vulnerabilities from Web descriptions and discussions, extract information and map to IDS knowledge base, (2) recognize potential attacks and intrusions in data from low level intrusion detection systems and map to IDS knowledge base, and (3) integrate and reason over results of (1) and (2) to identify actual attacks.]]></description>
  <dc:date>2011-10-21</dc:date>
 </item>
</rdf:RDF>
