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 <item rdf:about="http://ebiquity.umbc.edu/event/html/id/391/Extracting-Information-about-Security-Vulnerabilities-from-Web-Text">
  <title><![CDATA[Extracting Information about Security Vulnerabilities from Web Text]]></title>
  <link>http://ebiquity.umbc.edu/event/html/id/391/Extracting-Information-about-Security-Vulnerabilities-from-Web-Text</link>
  <description><![CDATA[The Web has rapidly grown into a source for disseminating information related to computer security threats, vulnerabilities and cyber-attacks. We present initial work on developing a framework to detect and extract descriptions of vulnerabilities and attacks from Web text. Our prototype system uses Wikitology, a general purpose knowledge base based on Wikipedia, to extract concepts that describe specific vulnerabilities and attacks, map them to related concepts from DBpedia and generate mac...]]></description>
  <dc:date>2011-04-19</dc:date>
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 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/872/Creating-Cybersecurity-Knowledge-Graphs-from-Malware-After-Action-Reports">
  <title><![CDATA[Creating Cybersecurity Knowledge Graphs from Malware After Action Reports]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/872/Creating-Cybersecurity-Knowledge-Graphs-from-Malware-After-Action-Reports</link>
  <description><![CDATA[After Action Reports (AARs) provide incisive analysis of cyber-incidents. Extracting cyber-knowledge from these sources would provide security analysts with credible information, which they can use to detect or find patterns indicative of a cyber-attack. In this paper, we describe a system to extract information from AARs, aggregate the extracted information by fusing similar entities together, and represent that extracted information in a Cybersecurity Knowledge Graph (CKG). We extract entit...]]></description>
  <dc:date>2020-12-01</dc:date>
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  <title><![CDATA[Extracting Information about Security Vulnerabilities from Web Text]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/540/Extracting-Information-about-Security-Vulnerabilities-from-Web-Text</link>
  <description><![CDATA[The Web is an important source of information about computer security threats, vulnerabilities, and cyber-attacks. We present initial work on developing a framework to detect and extract information about vulnerabilities and attacks from Web text. Our prototype system uses Wikitology, a general-purpose knowledge base derived from Wikipedia, to extract concepts that describe specific vulnerabilities and attacks, map them to related concepts from DBpedia, and generate machine understandable ass...]]></description>
  <dc:date>2011-08-22</dc:date>
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