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  Creative Commons, 559 Nathan Abbott Way, Stanford, California
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 <channel rdf:about="http://ebiquity.umbc.edu/tag/intrusion detection/">
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  <link>http://ebiquity.umbc.edu/tag/intrusion detection/</link>
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    <rdf:li resource="http://ebiquity.umbc.edu/project/html/id/74/Distributed-Trust-Management-in-Mobile-Ad-Hoc-Networks"/>
    <rdf:li resource="http://ebiquity.umbc.edu/project/html/id/33/Intrusion-Detection"/>
    <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/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/267/Cross-layer-Analysis-for-Detecting-Wireless-Misbehaviour"/>
    <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/245/A-Holistic-Approach-to-Secure-Sensor-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/153/Intrusion-Detection-Modeling-System-State-to-Detect-and-Classify-Aberrant-Behavior"/>
    <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/61/Using-DAML-OIL-to-classify-intrusive-behaviours"/>
    <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/69/Secure-Sensor-Networks-for-Perimeter-Protection"/>
    <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/37/A-Secure-Infrastructure-for-Service-Discovery-and-Access-in-Pervasive-Computing"/>
    <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/64/Modeling-Computer-Attacks-An-Ontology-for-Intrusion-Detection"/>
    <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/63/A-Target-Centric-Ontology-for-Intrusion-Detection"/>
    <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/68/On-Web-Semantics-and-Data-Mining-Intrusion-Detection-as-a-Case-Study"/>
    <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/67/Fuzzy-Clustering-for-Intrusion-Detection"/>
    <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/53/SHOMAR-An-Open-Architecture-for-Distributed-Intrusion-Detection-Services"/>
    <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/309/Effective-Network-Security-in-a-Dynamic-World"/>
    <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/74/Distributed-Trust-Management-in-Mobile-Ad-Hoc-Networks">
  <title><![CDATA[Distributed Trust Management in Mobile Ad Hoc Networks]]></title>
  <link>http://ebiquity.umbc.edu/project/html/id/74/Distributed-Trust-Management-in-Mobile-Ad-Hoc-Networks</link>
  <dc:date>2004-12-01</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/project/html/id/33/Intrusion-Detection">
  <title><![CDATA[Intrusion Detection]]></title>
  <link>http://ebiquity.umbc.edu/project/html/id/33/Intrusion-Detection</link>
  <description><![CDATA[Our vision of an intrusion detection system is one where the "system" encompasses the entire enterprise and where intrusion detection is a distributed and collaborative process involving the entities within the enterprise.  We view an entity as any
computational device to include computers, servers, switches, and
routers and where intrusion detectors are comprised of both anomaly and signature detectors that communicate with each other.  We have initiated work toward realizing our vision an...]]></description>
  <dc:date>2002-05-01</dc:date>
 </item>
 <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/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/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/245/A-Holistic-Approach-to-Secure-Sensor-Networks">
  <title><![CDATA[A Holistic Approach to Secure Sensor Networks]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/245/A-Holistic-Approach-to-Secure-Sensor-Networks</link>
  <description><![CDATA[Wireless sensor networks (WSNs) form a unique class of ad hoc networks
consisting of heterogeneous but highly resource-constrained devices
that can sense their environment and report sensed data to designated
nodes in the network. We present a holistic approach to improve the
performance of wireless sensor networks with respect to security,
longevity and connectivity under changing environmental
conditions. Our approach is two-fold: We have created a framework for
adaptability that det...]]></description>
  <dc:date>2005-08-05</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/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/61/Using-DAML-OIL-to-classify-intrusive-behaviours">
  <title><![CDATA[Using DAML+ OIL to classify intrusive behaviours]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/61/Using-DAML-OIL-to-classify-intrusive-behaviours</link>
  <description><![CDATA[We have produced an ontology specifying a model of computer
attack. Our ontology is based upon an analysis of over 4,000 classes
of computer intrusions and their corresponding attack strategies and
is categorized according to: system component targeted, means of
attack, consequence of attack and location of attacker.  We argue that
any taxonomic characteristics used to define a computer attack be
limited in scope to those features that are observable and measurable
at the target of the...]]></description>
  <dc:date>2004-01-16</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/69/Secure-Sensor-Networks-for-Perimeter-Protection">
  <title><![CDATA[Secure Sensor Networks for Perimeter Protection]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/69/Secure-Sensor-Networks-for-Perimeter-Protection</link>
  <description><![CDATA[Sensor networks have been identified as being useful in a variety of domains to include the battlefield and perimeter defense. We motivate the security problems that sensor networks face by developing a scenario representative of a large application class where these networks would be used in the future. We identify threats to this application class and propose a new lightweight security model that operates in the base station mode of sensor communication, where the security model is mindful ...]]></description>
  <dc:date>2003-11-30</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/37/A-Secure-Infrastructure-for-Service-Discovery-and-Access-in-Pervasive-Computing">
  <title><![CDATA[A Secure Infrastructure for Service Discovery and Access in Pervasive Computing]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/37/A-Secure-Infrastructure-for-Service-Discovery-and-Access-in-Pervasive-Computing</link>
  <description><![CDATA[Security is paramount to the success of pervasive computing environments. The system presented in this paper provides a communications and security infrastructure that goes far in advancing the goal of anywhere - anytime computing. Our work securely enables clients to access and utilize services in heterogeneous networks. We provide a service registration and discovery mechanism implemented
through a hierarchy of service management. The system is built upon a simplified Public Key Infrastruc...]]></description>
  <dc:date>2003-10-12</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/64/Modeling-Computer-Attacks-An-Ontology-for-Intrusion-Detection">
  <title><![CDATA[Modeling Computer Attacks: An Ontology for Intrusion Detection]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/64/Modeling-Computer-Attacks-An-Ontology-for-Intrusion-Detection</link>
  <description><![CDATA[We state the benefits of transitioning from taxonomies to ontologies and ontology specification languages, which are able to simultaneously serve as recognition, reporting and correlation languages. We have produced an ontology specifying a model of computer attack using the DARPA Agent Markup Language+Ontology Inference Layer, a descriptive logic language. The ontologyrsquos logic is implemented using DAMLJessKB. We compare and contrast the IETFrsquos IDMEF, an emerging standard that uses XM...]]></description>
  <dc:date>2003-09-16</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/63/A-Target-Centric-Ontology-for-Intrusion-Detection">
  <title><![CDATA[A Target-Centric Ontology for Intrusion Detection]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/63/A-Target-Centric-Ontology-for-Intrusion-Detection</link>
  <description><![CDATA[We present an approach to some security problems in multi-agent systems based on distributed trust and the delegation of permissions, and credibility. We assume an open environment in which agents must interact with other agents with which they are not familiar. In particular, an agent will receive requests and assertions from other agents and must decide how to act on the requests and assess the credibility of the assertions. In a closed environment, agents have well known and familiar trans...]]></description>
  <dc:date>2003-07-31</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/68/On-Web-Semantics-and-Data-Mining-Intrusion-Detection-as-a-Case-Study">
  <title><![CDATA[On Web, Semantics, and Data Mining: Intrusion Detection as a Case Study]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/68/On-Web-Semantics-and-Data-Mining-Intrusion-Detection-as-a-Case-Study</link>
  <description><![CDATA[We examine the intersection of data mining and semantic web in this paper. We briefly identify some points where they can impact one another, and then develop a specific example of intrusion detection, an application of distributed data mining. We have produced an ontology specifying a model of computer attacks. Our model is based upon an analysis of over 4,000 classes of computer attacks and their corresponding attack strategies using data derived from CERT/CC advisories and NIST’s ICAT me...]]></description>
  <dc:date>2003-05-01</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/67/Fuzzy-Clustering-for-Intrusion-Detection">
  <title><![CDATA[Fuzzy Clustering for Intrusion Detection]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/67/Fuzzy-Clustering-for-Intrusion-Detection</link>
  <description><![CDATA[The newly formed Department of Homeland Security has been mandated to reduce America's vulnerability to terrorism. In addition to being charged with physical protection, this newly formed department is also responsible for protecting the nation's critical infrastructure. Protecting computer systems from intrusions is an important aspect of securing the nation's infrastructure. We are exploring how fuzzy data mining and concepts introduced by the semantic Web can operate in synergy to perform ...]]></description>
  <dc:date>2003-04-30</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/53/SHOMAR-An-Open-Architecture-for-Distributed-Intrusion-Detection-Services">
  <title><![CDATA[SHOMAR: An Open Architecture for Distributed Intrusion Detection Services]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/53/SHOMAR-An-Open-Architecture-for-Distributed-Intrusion-Detection-Services</link>
  <description><![CDATA[Distributed Intrusion Detection Systems (DIDS) offer an alternative to centralized intrusion detection.
Current research indicates that a distributed intrusion detection paradigm may afford
greater coverage, consequently providing an increase in security. In some cases, DIDS offer an
alternative to centralized analysis, consequently improving scalabity. SHOMAR, the distributed
architecture presented in this paper, provides an open framework that enables secure access to
heterogeneous sof...]]></description>
  <dc:date>2002-09-12</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/309/Effective-Network-Security-in-a-Dynamic-World">
  <title><![CDATA[Effective Network Security in a Dynamic World]]></title>
  <link>http://ebiquity.umbc.edu/event/html/id/309/Effective-Network-Security-in-a-Dynamic-World</link>
  <description><![CDATA[Martin Roesch will speak on Effective Network Security in a Dynamic World to kick off UMBC's 10th Annual Visionaries in IT forum on Wednesday September 30.

Martin Roesch, a respected authority on intrusion prevention and detection technology and forensics, will discuss why today's network security isn't getting the job done. He will also share his vision on where network security is heading in the future.  Why must network security be intelligent to be effective? Why must it provide full n...]]></description>
  <dc:date>2009-09-30</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>
 <item rdf:about="http://ebiquity.umbc.edu/event/html/id/71/A-Holistic-Approach-to-Secure-Sensor-Networks">
  <title><![CDATA[A Holistic Approach to Secure Sensor Networks]]></title>
  <link>http://ebiquity.umbc.edu/event/html/id/71/A-Holistic-Approach-to-Secure-Sensor-Networks</link>
  <description><![CDATA[This talk focuses on ongoing research in the area of wireless sensor network security and adaptivity. I will present and discuss a framework that (i) enables deployed sensor nodes to self-organize into a network in a secure manner (ii) enables nodes to determine and dynamically adapt to changes in their security environment and (iii) can be used to design secure, adaptive, wireless sensor networks]]></description>
  <dc:date>2004-11-24</dc:date>
 </item>
</rdf:RDF>

