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	This ontology document is licensed under the Creative Commons
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 <channel rdf:about="http://ebiquity.umbc.edu//tags/html/?t=cross-layer">
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  <title><![CDATA[UMBC ebiquity RSS Tag Search]]></title>
  <link><![CDATA[http://ebiquity.umbc.edu//tags/html/?t=cross-layer]]></link>
  <description><![CDATA[UMBC ebiquity RSS Tag Search for cross-layer]]></description>
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      <rdf:li resource="http://ebiquity.umbc.edu/event/html/id/117/Cross-layer-Analysis-for-Detecting-Wireless-Misbehavior"/>
      <rdf:li resource="http://ebiquity.umbc.edu/event/html/id/27/Doctoral-Dissertation-Defense-On-Peer-to-Peer-Data-Management-in-Pervasive-Computing-Environments"/>
      <rdf:li resource="http://ebiquity.umbc.edu/project/html/id/78/Policy-based-Automated-WAN-Configuration-and-Management"/>
      <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/625/Detecting-Data-Exfiltration-by-Integrating-Information-Across-Layers"/>
      <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/267/Cross-layer-Analysis-for-Detecting-Wireless-Misbehaviour"/>
      <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/186/Service-Discovery-and-Compsition-in-Pervasive-Environments"/>
      <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/211/On-Peer-to-Peer-Data-Management-in-Pervasive-Computing-Environments"/>
      <rdf:li resource="http://ebiquity.umbc.edu/resource/html/id/150/Cross-layer-Analysis-for-Detecting-Wireless-Misbehavior"/>
      <rdf:li resource="http://ebiquity.umbc.edu/resource/html/id/151/Cross-layer-Analysis-for-Detecting-Wireless-Misbehavior"/>
      <rdf:li resource="http://ebiquity.umbc.edu/resource/html/id/177/Detecting-Misbehavior-in-MANETs-Through-Cross-Layer-Analysis-May-2006-"/>
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 <item rdf:about="http://ebiquity.umbc.edu/event/html/id/117/Cross-layer-Analysis-for-Detecting-Wireless-Misbehavior">
  <title><![CDATA[Cross-layer Analysis for Detecting Wireless Misbehavior]]></title>
  <link>http://ebiquity.umbc.edu/event/html/id/117/Cross-layer-Analysis-for-Detecting-Wireless-Misbehavior</link>
  <description><![CDATA[Intrusion Detections 
Systems(IDSs) in ad hoc networks monitor other devices for
intentional deviation from protocol, i.e., misbehavior. This process
is complicated due
to limited radio range and mobility of nodes. Unlike conventional
IDSs, it is not
possible to monitor nodes for long durations. As a result IDSs suffer from
a large number of false positives. Moreover other environmental conditions like
radio interference and congestion increase false positives,
complicating classific...]]></description>
  <dc:date>2005-10-19</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/event/html/id/27/Doctoral-Dissertation-Defense-On-Peer-to-Peer-Data-Management-in-Pervasive-Computing-Environments">
  <title><![CDATA[Doctoral Dissertation Defense: On Peer-to-Peer Data Management in Pervasive Computing Environments]]></title>
  <link>http://ebiquity.umbc.edu/event/html/id/27/Doctoral-Dissertation-Defense-On-Peer-to-Peer-Data-Management-in-Pervasive-Computing-Environments</link>
  <description><![CDATA[The deployment of wireless communication technologies has led to significant research in the area of mobile data management. The prior research is dominated by the client-proxy-server model. In this model, mobile devices are able to connect to the Internet and serve as clients, initiating actions and receiving information from servers on the network. The primary focus of prior research is on the development of techniques and protocols that deal with disconnection management, low bandwidth and...]]></description>
  <dc:date>2004-05-03</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/project/html/id/78/Policy-based-Automated-WAN-Configuration-and-Management">
  <title><![CDATA[Policy-based Automated WAN Configuration and Management]]></title>
  <link>http://ebiquity.umbc.edu/project/html/id/78/Policy-based-Automated-WAN-Configuration-and-Management</link>
  <description><![CDATA[There are many significant challenges related to configuration and management of wide-area networks due to their rapidly growing complexity, failures, and attacks.  The DARPA Knowledge Plane Study identified that main challenges to be intelligent network management, fault detection, attack response, and fast network configuration.  With uncertainty and threads of battle areas, these challenges further grow exponentially.

In order to overcome the challenges, the project aims at developing a...]]></description>
  <dc:date>2006-09-01</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/625/Detecting-Data-Exfiltration-by-Integrating-Information-Across-Layers">
  <title><![CDATA[Detecting Data Exfiltration by Integrating Information Across Layers]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/625/Detecting-Data-Exfiltration-by-Integrating-Information-Across-Layers</link>
  <description><![CDATA[Data exfiltration is the unauthorized leakage of confidential data from a system.  Unlike intrusions that seek to overtly disable or damage a system, it is particularly hard to detect because it uses a variety of low/slow vectors and advanced persistent threats (APTs).  It is often assisted (intentionally or not) by an insider who might be an employee who downloads a trojan or uses a hardware component that has been tampered with or acquired from an unreliable source. Conventional scan and te...]]></description>
  <dc:date>2013-08-14</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/267/Cross-layer-Analysis-for-Detecting-Wireless-Misbehaviour">
  <title><![CDATA[Cross-layer Analysis for Detecting Wireless Misbehaviour]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/267/Cross-layer-Analysis-for-Detecting-Wireless-Misbehaviour</link>
  <description><![CDATA[Intrusion detections systems (IDSs) in ad hoc networks monitor other devices for
significant deviation from protocol -- misbehavior. This process is complicated due
to limited radio range and mobility of nodes. Unlike conventional IDSs, it is not
possible to monitor nodes for long durations. As a result IDSs suffer from 
a large number of false positives. Moreover other environmental conditions like
radio interference and congestion increase false positives, complicating classification
...]]></description>
  <dc:date>2006-01-06</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/186/Service-Discovery-and-Compsition-in-Pervasive-Environments">
  <title><![CDATA[Service Discovery and Compsition in Pervasive Environments]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/186/Service-Discovery-and-Compsition-in-Pervasive-Environments</link>
  <description><![CDATA[Service discovery and composition has been an active area of research in the domain of wired web-based
environments as well as mobile and pervasive environments. The advent of mobile computing elements
(handhelds) along with the concomitant development of wireless and ad-hoc networking technologies such
as Bluetooth, 802.11, Infrared etc have recently led to the growth of infrastructure-less pervasive environments
- environments that do not assume the existence of the umbilical cord: a st...]]></description>
  <dc:date>2004-06-08</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/211/On-Peer-to-Peer-Data-Management-in-Pervasive-Computing-Environments">
  <title><![CDATA[On Peer-to-Peer Data Management in Pervasive Computing Environments]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/211/On-Peer-to-Peer-Data-Management-in-Pervasive-Computing-Environments</link>
  <description><![CDATA[The deployment of wireless communication technologies has led to significant research in the area of mobile data management. The prior research is dominated by the client-proxy-server model. In this model, mobile devices are able to connect to the Internet and serve as clients, initiating actions and receiving information from servers on the network. The primary focus of prior research is on the development of techniques and protocols that deal with disconnection management, low bandwidth and...]]></description>
  <dc:date>2004-05-03</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/resource/html/id/150/Cross-layer-Analysis-for-Detecting-Wireless-Misbehavior">
  <title><![CDATA[Cross-layer Analysis for Detecting Wireless Misbehavior]]></title>
  <link>http://ebiquity.umbc.edu/resource/html/id/150/Cross-layer-Analysis-for-Detecting-Wireless-Misbehavior</link>
  <description><![CDATA[Intrusion Detections Systems(IDSs) in ad hoc networks monitor other devices for
intentional deviation from protocol, i.e., misbehavior. This process
is complicated due
to limited radio range and mobility of nodes. Unlike conventional
IDSs, it is not
possible to monitor nodes for long durations. As a result IDSs suffer from
a large number of false positives. Moreover other environmental conditions like
radio interference and congestion increase false positives,
complicating classificat...]]></description>
  <dc:date>2005-10-19</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/resource/html/id/151/Cross-layer-Analysis-for-Detecting-Wireless-Misbehavior">
  <title><![CDATA[Cross-layer Analysis for Detecting Wireless Misbehavior]]></title>
  <link>http://ebiquity.umbc.edu/resource/html/id/151/Cross-layer-Analysis-for-Detecting-Wireless-Misbehavior</link>
  <description><![CDATA[Intrusion Detections Systems(IDSs) in ad hoc networks monitor other devices for
intentional deviation from protocol, i.e., misbehavior. This process
is complicated due
to limited radio range and mobility of nodes. Unlike conventional
IDSs, it is not
possible to monitor nodes for long durations. As a result IDSs suffer from
a large number of false positives. Moreover other environmental conditions like
radio interference and congestion increase false positives,
complicating classificat...]]></description>
  <dc:date>2005-10-19</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/resource/html/id/177/Detecting-Misbehavior-in-MANETs-Through-Cross-Layer-Analysis-May-2006-">
  <title><![CDATA[Detecting Misbehavior in MANETs Through Cross-Layer Analysis (May 2006)]]></title>
  <link>http://ebiquity.umbc.edu/resource/html/id/177/Detecting-Misbehavior-in-MANETs-Through-Cross-Layer-Analysis-May-2006-</link>
  <description><![CDATA[Poster for the CSEE Research Review.]]></description>
  <dc:date>2006-05-04</dc:date>
 </item>
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