<?xml version="1.0" encoding="UTF-8" ?>
<rdf:RDF
 xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#"
 xmlns="http://purl.org/rss/1.0/"
 xmlns:dc="http://purl.org/dc/elements/1.1/"
 xmlns:cc="http://web.resource.org/cc/"
 >
<!--
  This ontology document is licensed under the Creative Commons
  Attribution License. To view a copy of this license, visit
  http://creativecommons.org/licenses/by/2.0/ or send a letter to
  Creative Commons, 559 Nathan Abbott Way, Stanford, California
  94305, USA.
-->
 <channel rdf:about="http://ebiquity.umbc.edu/tag/daml+oil/">
  <cc:license rdf:resource="http://creativecommons.org/licenses/by/2.0/" />
  <image rdf:resource="http://ebiquity.umbc.edu/img/logo.jpg" />  <title><![CDATA[RSS Tag Search]]></title>
  <link>http://ebiquity.umbc.edu/tag/daml+oil/</link>
  <description><![CDATA[RSS Tag Search]]></description>
  <items>
   <rdf:Seq>
    <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/153/Intrusion-Detection-Modeling-System-State-to-Detect-and-Classify-Aberrant-Behavior"/>
    <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/132/GSD-A-Novel-Group-based-Service-Discovery-Protocol-for-MANETs"/>
   </rdf:Seq>
  </items>
 </channel>
 <image rdf:about="http://ebiquity.umbc.edu/img/logo.jpg">
  <title>UMBC ebiquity research group</title>
  <link>http://ebiquity.umbc.edu</link>
  <url>http://ebiquity.umbc.edu/img/logo.jpg</url>
 </image>
 <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>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/132/GSD-A-Novel-Group-based-Service-Discovery-Protocol-for-MANETs">
  <title><![CDATA[GSD: A Novel Group-based Service Discovery Protocol for MANETs]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/132/GSD-A-Novel-Group-based-Service-Discovery-Protocol-for-MANETs</link>
  <description><![CDATA[This paper proposes a novel distributed service discovery protocol for Mobile Ad hoc Networks. The protocol is based on the concept of peer-to-peer caching of service advertisements and group-based intelligent forwarding of service requests. It does not require a service to register to a registry or lookup server. Services are described using an ontology based on the DARPA Agent Markup Language (DAML+OIL). We exploit the semantic class/subClass hierarchy of DAML to describe service groups and...]]></description>
  <dc:date>2002-09-09</dc:date>
 </item>
</rdf:RDF>
