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  <title>UMBC ebiquity research group</title>
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 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/153/Intrusion-Detection-Modeling-System-State-to-Detect-and-Classify-Aberrant-Behavior">
  <title><![CDATA[Intrusion Detection:  Modeling System State to Detect and Classify Aberrant Behavior]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/153/Intrusion-Detection-Modeling-System-State-to-Detect-and-Classify-Aberrant-Behavior</link>
  <description><![CDATA[We present a dual-phase host-based intrusion detection process. We have demonstrated, through experimental validation, that our process improves the current state of intrusion detection
capabilities. The first phase uses cluster analysis to compare samples of low-level
operating system data to an established model of normalcy. The second phase takes instances
of non-conforming data from phase-1, maps that data to instances of our target-centric ontology
and reasons over it. The reasoning ...]]></description>
  <dc:date>2004-02-17</dc:date>
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