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 <channel rdf:about="http://ebiquity.umbc.edu/tag/manet/">
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  <image rdf:resource="http://ebiquity.umbc.edu/img/logo.jpg" />  <title><![CDATA[RSS Tag Search]]></title>
  <link>http://ebiquity.umbc.edu/tag/manet/</link>
  <description><![CDATA[RSS Tag Search]]></description>
  <items>
   <rdf:Seq>
    <rdf:li resource="http://ebiquity.umbc.edu/project/html/id/77/Security-in-Battlefield-MANETs"/>
    <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/398/Query-Distribution-Estimation-and-Predictive-Caching-in-Mobile-Ad-Hoc-Networks"/>
    <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/364/Threshold-based-Intrusion-Detection-in-Ad-Hoc-Networks-and-Secure-AODV"/>
    <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/306/A-Data-Intensive-Reputation-Management-Scheme-for-Vehicular-Ad-Hoc-Networks"/>
    <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/305/Querying-in-Packs-Trustworthy-Data-Management-in-Ad-Hoc-Networks"/>
    <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/208/Secure-Routing-and-Intrusion-Detection-in-Ad-Hoc-Networks"/>
    <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/187/Towards-Distributed-Service-Discovery-in-Pervasive-Computing-Environments"/>
    <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/71/eNcentive-A-Framework-for-Intelligent-Marketing-in-Mobile-Peer-To-Peer-Environments"/>
    <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/177/Towards-Distributed-Service-Discovery-in-Pervasive-Computing-Environments"/>
    <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/132/GSD-A-Novel-Group-based-Service-Discovery-Protocol-for-MANETs"/>
    <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-"/>
    <rdf:li resource="http://ebiquity.umbc.edu/event/html/id/248/Trust-based-Data-Management-in-Mobile-Ad-Hoc-Networks"/>
    <rdf:li resource="http://ebiquity.umbc.edu/event/html/id/182/Research-Topics-in-MANETs"/>
    <rdf:li resource="http://ebiquity.umbc.edu/event/html/id/117/Cross-layer-Analysis-for-Detecting-Wireless-Misbehavior"/>
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 <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/project/html/id/77/Security-in-Battlefield-MANETs">
  <title><![CDATA[Security in Battlefield MANETs]]></title>
  <link>http://ebiquity.umbc.edu/project/html/id/77/Security-in-Battlefield-MANETs</link>
  <description><![CDATA[The battlefield of tomorrow is expected to be filled with wireless devices  These devices will be capable of forming mobile ad hoc networks (MANETs) and work together in  combinations of mobile and static, sensor and non-sensor nodes.  Even though critical data may not be present at all times, we expect that at some time a critical event will occur and crucial data will need to transit the network. Disruptions at this time could have disastrous results in reaction to the event.  

Assuming ...]]></description>
  <dc:date>2006-09-01</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/398/Query-Distribution-Estimation-and-Predictive-Caching-in-Mobile-Ad-Hoc-Networks">
  <title><![CDATA[Query Distribution Estimation and Predictive Caching in Mobile Ad Hoc Networks]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/398/Query-Distribution-Estimation-and-Predictive-Caching-in-Mobile-Ad-Hoc-Networks</link>
  <description><![CDATA[The problem of data management has been studied widely in the field
of mobile ad-hoc networks and pervasive computing. The issue
addressed is that finding the data required by a device depends on
chance encounter with the source of data. Most existing research has
focused on specifying the required data by specifying the user or
application intentions. These approaches take the semantics of data
into account while caching data onto mobile devices from the wired
sources. We propose a sc...]]></description>
  <dc:date>2008-06-13</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/364/Threshold-based-Intrusion-Detection-in-Ad-Hoc-Networks-and-Secure-AODV">
  <title><![CDATA[Threshold-based Intrusion Detection in Ad Hoc Networks and Secure AODV]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/364/Threshold-based-Intrusion-Detection-in-Ad-Hoc-Networks-and-Secure-AODV</link>
  <description><![CDATA[Mobile ad hoc networks (MANETs) play an important role in connecting
devices in pervasive environments. MANETs provide inexpensive and
versatile communication, yet several challenges remain in addressing
their security.  So far, numerous schemes have been proposed for
secure routing and intrusion detection, with only simulations to
validate them; little work exists, in implementing such schemes on
small handheld devices. In this paper, we present our approach of
securing a MANET using ...]]></description>
  <dc:date>2007-05-09</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/306/A-Data-Intensive-Reputation-Management-Scheme-for-Vehicular-Ad-Hoc-Networks">
  <title><![CDATA[A Data Intensive Reputation Management Scheme for Vehicular Ad Hoc Networks]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/306/A-Data-Intensive-Reputation-Management-Scheme-for-Vehicular-Ad-Hoc-Networks</link>
  <description><![CDATA[In vehicular ad hoc networks individual vehicles can help each
other locate resources and establish trustworthiness under highly dynamic 
conditions, lacking any centralized trust authority. To ascertain
the accuracy and reliability of data aggregated in a distributed manner,
we present a reputation management system for such networks that enables 
devices to quickly adapt to changing local conditions and provides a 
bootstrapping method for establishing trust relationships where only ...]]></description>
  <dc:date>2006-07-21</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/305/Querying-in-Packs-Trustworthy-Data-Management-in-Ad-Hoc-Networks">
  <title><![CDATA[Querying in Packs: Trustworthy Data Management in Ad Hoc Networks]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/305/Querying-in-Packs-Trustworthy-Data-Management-in-Ad-Hoc-Networks</link>
  <description><![CDATA[We describe a trust-based data management framework enabling mobile devices to access the distributed computation, storage, and sensory resources available in pervasive computing environments. Available resources include those in the fixed surrounding infrastructure as well as services offered by other nearby mobile devices. We take a holistic approach that considers data trust, security, and privacy and focus on the collaborative mechanisms providing a trustworthy data management platform in...]]></description>
  <dc:date>2006-06-09</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/208/Secure-Routing-and-Intrusion-Detection-in-Ad-Hoc-Networks">
  <title><![CDATA[Secure Routing and Intrusion Detection in Ad Hoc Networks]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/208/Secure-Routing-and-Intrusion-Detection-in-Ad-Hoc-Networks</link>
  <description><![CDATA[Numerous schemes have been proposed for secure routing and Intrusion Detection for ad hoc
networks. Yet, little work exists in actually implementing such schemes on small handheld devices.
In this paper, we present a proof-of-concept implementation of a secure routing protocol based on
AODV over IPv6, further reinforced by a routing protocol-independent Intrusion Detection System
(IDS) for ad hoc networks. Security features in the routing protocol include mechanisms for nonrepudiation
an...]]></description>
  <dc:date>2005-03-08</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/187/Towards-Distributed-Service-Discovery-in-Pervasive-Computing-Environments">
  <title><![CDATA[Towards Distributed Service Discovery in Pervasive Computing Environments]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/187/Towards-Distributed-Service-Discovery-in-Pervasive-Computing-Environments</link>
  <description><![CDATA[The paper proposes a novel distributed service discovery protocol for pervasive environments. The protocol
is based on the concepts of peer-to-peer caching of service advertisements and group-based intelligent forwarding
of service requests. It does not require a service to be registered with a registry or lookup server. Services are
described using the Web Ontology Language (OWL). We exploit the semantic class/subClass hierarchy of OWL to
describe service groups and use this semantic inf...]]></description>
  <dc:date>2004-07-15</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/71/eNcentive-A-Framework-for-Intelligent-Marketing-in-Mobile-Peer-To-Peer-Environments">
  <title><![CDATA[eNcentive: A Framework for Intelligent Marketing in Mobile Peer-To-Peer Environments]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/71/eNcentive-A-Framework-for-Intelligent-Marketing-in-Mobile-Peer-To-Peer-Environments</link>
  <description><![CDATA[In recent years, the growth of Mobile Computing, Electronic
Commerce and Mobile Electronic Commerce has created a
new concept of Mobile Electronic Marketing. New marketing
models are being developed and used to target mobile
users. Mobile environments introduces new challenges that
need to be overcome by these marketing models in order to
be successful and effective. This paper proposes a framework,
called eNcentive, which addresses many of the issues
that are characteristic of mobile...]]></description>
  <dc:date>2003-10-03</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/177/Towards-Distributed-Service-Discovery-in-Pervasive-Computing-Environments">
  <title><![CDATA[Towards Distributed Service Discovery in Pervasive Computing Environments]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/177/Towards-Distributed-Service-Discovery-in-Pervasive-Computing-Environments</link>
  <description><![CDATA[The paper proposes a novel distributed service discovery protocol for pervasive environments. The protocol is based on the concepts of peer-to-peer caching of service advertisements and group-based intelligent forwarding of service requests. It does not require a service to be registered with a registry or lookup server. Services are described using the Web Ontology Language (OWL). We exploit the semantic class/subClass hierarchy of OWL to describe service groups and use this semantic informa...]]></description>
  <dc:date>2003-06-11</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>
 <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>
 <item rdf:about="http://ebiquity.umbc.edu/event/html/id/248/Trust-based-Data-Management-in-Mobile-Ad-Hoc-Networks">
  <title><![CDATA[Trust-based Data Management in Mobile Ad Hoc Networks]]></title>
  <link>http://ebiquity.umbc.edu/event/html/id/248/Trust-based-Data-Management-in-Mobile-Ad-Hoc-Networks</link>
  <description><![CDATA[The problem of data management has been studied widely in the field
of mobile ad-hoc networks and pervasive computing. An issue is that
finding the required data depends on chance encounter with the
source of data. Most existing research take the semantics of data
into account while caching data onto mobile devices from the wired
sources. In this work, we propose that the mobile devices decide
what to cache based on the queries they encounter. The scheme
involves a distributed techniqu...]]></description>
  <dc:date>2008-07-08</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/event/html/id/182/Research-Topics-in-MANETs">
  <title><![CDATA[Research Topics in MANETs]]></title>
  <link>http://ebiquity.umbc.edu/event/html/id/182/Research-Topics-in-MANETs</link>
  <description><![CDATA[Mobile Ad hoc NETworks (MANETs) provide a vast playground for computer network researchers.  Problems posed by dynamic topologies, battery lifetime, disconnected operations, and security are some of the challenges that MANETs present.  At this point in time, researchers can only speculate about wide spread future use, with solutions to anticipated problems.

Palanivel Kodeswaran will discuss a paper on cooperative caching in MANETs.  Consistency of Cooperative Caching in Mobile Peer-to-Peer...]]></description>
  <dc:date>2006-10-17</dc:date>
 </item>
 <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>
</rdf:RDF>
