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 <channel rdf:about="http://ebiquity.umbc.edu//tag/html/ids/?t=ids">
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  <title><![CDATA[UMBC ebiquity RSS Tag Search]]></title>
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      <rdf:li resource="http://ebiquity.umbc.edu/event/html/id/465/PROB-A-tool-for-Tracking-Provenance-and-Reproducibility-of-Big-Data-Experiments"/>
      <rdf:li resource="http://ebiquity.umbc.edu/event/html/id/436/Situation-Aware-Intrusion-Detection-Model"/>
      <rdf:li resource="http://ebiquity.umbc.edu/event/html/id/362/Integrated-System-Model-for-Electric-Grids"/>
      <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/289/Web-Security-Overview"/>
      <rdf:li resource="http://ebiquity.umbc.edu/event/html/id/215/Empowering-Scientific-Discovery-by-Distributed-Data-Mining-on-the-Grid-Infrastructure"/>
      <rdf:li resource="http://ebiquity.umbc.edu/event/html/id/157/Why-all-the-Buzz-about-Informatics-"/>
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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/58/A-Policy-Based-Approach-to-Governing-Autonomous-Behavior-in-Distributed-Environments"/>
      <rdf:li resource="http://ebiquity.umbc.edu/project/html/id/103/Automatic-Interpretation-of-Log-Files"/>
      <rdf:li resource="http://ebiquity.umbc.edu/project/html/id/104/Automatic-Interpretation-of-Log-Files"/>
      <rdf:li resource="http://ebiquity.umbc.edu/project/html/id/3/eNcentive"/>
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      <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/1177/FABULA-Intelligence-Report-Generation-Using-Retrieval-Augmented-Narrative-Construction"/>
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      <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/857/Automating-Class-Instance-Representational-Choices-in-Knowledge-Bases"/>
      <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/802/Bid-Modification-Attack-in-Smart-Grid-for-Monetary-Benefits"/>
      <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/803/Feasibility-and-mitigation-of-false-data-injection-attacks-in-smart-grid"/>
      <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/721/Semantic-Interpretation-of-Structured-Log-Files"/>
      <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/650/PROB-A-tool-for-Tracking-Provenance-and-Reproducibility-of-Big-Data-Experiments"/>
      <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/594/A-Semantic-Approach-to-Situational-Awareness-for-Intrusion-Detection"/>
      <rdf:li resource="http://ebiquity.umbc.edu/resource/html/id/150/Cross-layer-Analysis-for-Detecting-Wireless-Misbehavior"/>
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      <rdf:li resource="http://ebiquity.umbc.edu/resource/html/id/120/MANET-IDS-Glomosim-Simulation-Files"/>
      <rdf:li resource="http://ebiquity.umbc.edu/resource/html/id/327/situational-awareness-for-cybersecurity"/>
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 <item rdf:about="http://ebiquity.umbc.edu/event/html/id/465/PROB-A-tool-for-Tracking-Provenance-and-Reproducibility-of-Big-Data-Experiments">
  <title><![CDATA[PROB:  A tool for Tracking Provenance and Reproducibility of Big Data Experiments]]></title>
  <link>http://ebiquity.umbc.edu/event/html/id/465/PROB-A-tool-for-Tracking-Provenance-and-Reproducibility-of-Big-Data-Experiments</link>
  <description><![CDATA[Reproducibility of computations and data provenance are very important goals to achieve in order to improve the quality of one's research.  Unfortunately, despite some efforts made in the past, it is still very hard to reproduce computational experiments with high degree of certainty.  The Big Data phenomenon in recent years makes this goal even harder to achieve.  In this work, we propose a tool that aids researchers to improve reproducibility of their experiments through automated keeping o...]]></description>
  <dc:date>2014-02-10</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/event/html/id/436/Situation-Aware-Intrusion-Detection-Model">
  <title><![CDATA[Situation Aware Intrusion Detection Model]]></title>
  <link>http://ebiquity.umbc.edu/event/html/id/436/Situation-Aware-Intrusion-Detection-Model</link>
  <description><![CDATA[Growing importance of the underlying information technology infrastructure of every business, media and manufacturing domains have led to increasing events of unauthorized infrastructure access, denial-of-service attacks, and stealing of valuable data. Intrusion Detection Systems (IDS) are applications which monitor cyber-systems to identify any malicious activities, generate an alert when such an activity is detected, and redress the problem if possible. Most of the intrusion detection/preve...]]></description>
  <dc:date>2012-04-19</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/event/html/id/362/Integrated-System-Model-for-Electric-Grids">
  <title><![CDATA[Integrated System Model for Electric Grids]]></title>
  <link>http://ebiquity.umbc.edu/event/html/id/362/Integrated-System-Model-for-Electric-Grids</link>
  <description><![CDATA[A fundamental concept in software engineering is to discover and
model all "fundamental objects". An object-oriented model that
includes all fundamental objects in the problem domain can be
used to solve all problems in the problem domain. For utility
systems such models can contain millions of objects consisting of
customers, structures, equipment, and measurements.  Here such a
model is referred to as an Integrated System Model (ISM). A
single ISM may span multiple utility systems an...]]></description>
  <dc:date>2010-09-20</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/289/Web-Security-Overview">
  <title><![CDATA[Web Security Overview]]></title>
  <link>http://ebiquity.umbc.edu/event/html/id/289/Web-Security-Overview</link>
  <description><![CDATA[Since all organizations have web presence today, security of the web
applications is important. There is a variety of attacks (Cross Site
Scripting (XSS), SQL injection, Command Injections, Forced Browsing etc.)
that can be launched against web applications which we need to be aware of.
In this talk, I will cover Cross Site Scripting. I will also cover a
slightly advanced version of XSS, tools you could use to learn more about
XSS, tools that you can use to test your web applications fo...]]></description>
  <dc:date>2009-04-01</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/event/html/id/215/Empowering-Scientific-Discovery-by-Distributed-Data-Mining-on-the-Grid-Infrastructure">
  <title><![CDATA[Empowering Scientific Discovery by Distributed Data Mining on the Grid Infrastructure]]></title>
  <link>http://ebiquity.umbc.edu/event/html/id/215/Empowering-Scientific-Discovery-by-Distributed-Data-Mining-on-the-Grid-Infrastructure</link>
  <description><![CDATA[The grid-based computing paradigm has attracted much attention in recent years. The sharing of distributed computing resources (such as software, hardware, data, sensors, etc) is an important aspect of grid computing. Computational Grids focus on methods for handling compute intensive tasks while Data Grids are geared toward data-intensive computing. Grid-based computing has been put to use in several scientific disciplines such as astronomy, engineering, climate studies, ecology, biology and...]]></description>
  <dc:date>2007-09-28</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/event/html/id/157/Why-all-the-Buzz-about-Informatics-">
  <title><![CDATA[Why all the Buzz about Informatics?]]></title>
  <link>http://ebiquity.umbc.edu/event/html/id/157/Why-all-the-Buzz-about-Informatics-</link>
  <description><![CDATA[There have been many fundamental transition points that have altered human
history for all time: 

 the ability to grow our food rather hunting for it;  
 learning to talk to each other, even if in many languages;
 learning how to write our ideas down, and on and on. 

Today around the world, we are all in the midst of an Informatics
Transformation - the use of computing to extend our human talents and skills
in incredible ways that were unimaginable even a few years ago. 

And in ...]]></description>
  <dc:date>2006-05-16</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/event/html/id/136/Making-Google-Richer-Optimal-Algorithms-for-the-AdWords-Auction">
  <title><![CDATA[Making Google Richer: Optimal Algorithms for the AdWords Auction]]></title>
  <link>http://ebiquity.umbc.edu/event/html/id/136/Making-Google-Richer-Optimal-Algorithms-for-the-AdWords-Auction</link>
  <description><![CDATA[Google's phenomenal success may be ascribed as much to a revolution in advertising as to its superior search results. The key to this online advertising model is an innovative auction run by the search engine companies. Advertisers' bids for search keywords determine which ads are displayed during internet searches. There are a number of algorithmic and game theoretic issues that arise in this context. In particular, the problem of maximizing revenue in such keyword auctions can be formulated...]]></description>
  <dc:date>2006-03-03</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/58/A-Policy-Based-Approach-to-Governing-Autonomous-Behavior-in-Distributed-Environments">
  <title><![CDATA[A Policy-Based Approach to Governing Autonomous Behavior in Distributed Environments]]></title>
  <link>http://ebiquity.umbc.edu/event/html/id/58/A-Policy-Based-Approach-to-Governing-Autonomous-Behavior-in-Distributed-Environments</link>
  <description><![CDATA[Many emerging computational systems such as pervasive computing environments, the semantic web, grid computing, and multi-agent systems fit the paradigm of open, dynamic distributed systems.  These
systems have to accommodate a wide range of domain knowledge due to diverse organizational boundaries, adapt to heterogeneous, mobile, and
semi-autonomous entities, and manage variations caused by the movement of users, ambiguous boundaries, and permutable services.


While past research has...]]></description>
  <dc:date>2004-09-15</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/project/html/id/103/Automatic-Interpretation-of-Log-Files">
  <title><![CDATA[Automatic Interpretation of Log Files]]></title>
  <link>http://ebiquity.umbc.edu/project/html/id/103/Automatic-Interpretation-of-Log-Files</link>
  <description><![CDATA[Log files comprise of different events happening in various applications, operating systems and even in network devices. Originally they were used to record information for diagnostic and debugging purposes. Nowadays, logs are also used to track events which can be used in auditing and forensics in case of malicious activities or systems attacks. Various softwares like intrusion detection systems, webservers, anti-virus and anti-malware systems, firewalls and network devices generate logs wit...]]></description>
  <dc:date>2013-08-01</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/project/html/id/104/Automatic-Interpretation-of-Log-Files">
  <title><![CDATA[Automatic Interpretation of Log Files]]></title>
  <link>http://ebiquity.umbc.edu/project/html/id/104/Automatic-Interpretation-of-Log-Files</link>
  <description><![CDATA[Log files comprise of different events happening in various applications, operating systems and even in network devices. Originally they were used to record information for diagnostic and debugging purposes. Nowadays, logs are also used to track events which can be used in auditing and forensics in case of malicious activities or systems attacks. Various softwares like intrusion detection systems, webservers, anti-virus and anti-malware systems, firewalls and network devices generate logs wit...]]></description>
  <dc:date>2013-08-01</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/project/html/id/3/eNcentive">
  <title><![CDATA[eNcentive]]></title>
  <link>http://ebiquity.umbc.edu/project/html/id/3/eNcentive</link>
  <description><![CDATA[eNcentive is an infrastructure that facilitates peer-to-peer electronic commerce in mobile ad-hoc environments. eNcentive employs hierarchical marketing scheme by collecting information like sales promotions and discounts, marketing it to other users in the network and benefiting from it when these users utilize this information. 

A user equipped with a PDA running eNcentive platform travels though a geographical region populated by businesses (like restaurants, cafes and drycleaners) that...]]></description>
  <dc:date>2003-01-01</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/21/Semantic-Service-Discovery-in-Bluetooth">
  <title><![CDATA[Semantic Service Discovery in Bluetooth]]></title>
  <link>http://ebiquity.umbc.edu/project/html/id/21/Semantic-Service-Discovery-in-Bluetooth</link>
  <description><![CDATA[Bluetooth Service Discovery Protocol (SDP) enables a client application on
a device to discover information about services on other Bluetooth
devices. Every service is represented by a profile that is identified by a
128-bit Universally Unique Identifier (UUID). Attributes associated with a
particular service are also identified by UUIDs. Service discovery
requests, sent by the client, must contain one or more UUIDs. A match
occurs on a peer device if and only if at least one UU...]]></description>
  <dc:date>2000-12-01</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/project/html/id/98/Semantic-Situational-Awareness-for-Intrusion-Detection">
  <title><![CDATA[Semantic Situational Awareness for Intrusion Detection]]></title>
  <link>http://ebiquity.umbc.edu/project/html/id/98/Semantic-Situational-Awareness-for-Intrusion-Detection</link>
  <description><![CDATA[We are developing a situation-aware intrusion detection system that integrates heterogeneous sources of information to build and maintain a semantically rich knowledge-base about cyber threats and vulnerabilities.  Most current intrusion detection and prevention systems rely on signature-based approaches to detect attacks. When an attack signature is not available, such as for a new exploit or a significantly modified known one, such systems are much less effective. Moreover, these intrusion ...]]></description>
  <dc:date>2011-01-01</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/1177/FABULA-Intelligence-Report-Generation-Using-Retrieval-Augmented-Narrative-Construction">
  <title><![CDATA[FABULA: Intelligence Report Generation Using Retrieval-Augmented Narrative Construction]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/1177/FABULA-Intelligence-Report-Generation-Using-Retrieval-Augmented-Narrative-Construction</link>
  <description><![CDATA[Narrative construction is the process of representing disparate event information into a logical plot structure that models an end-to-end story. Intelligence analysis is an example of a domain that can benefit tremendously from narrative construction techniques, particularly in aiding analysts during the largely manual and costly process of synthesizing event information into comprehensive intelligence reports. Manual intelligence report generation is often prone to challenges such as integra...]]></description>
  <dc:date>2023-11-06</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/887/Context-Sensitive-Access-Control-in-Smart-Home-Environments">
  <title><![CDATA[Context Sensitive Access Control in Smart Home Environments]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/887/Context-Sensitive-Access-Control-in-Smart-Home-Environments</link>
  <description><![CDATA[The rise in popularity of Internet of Things (IoT) devices has opened doors for privacy and security breaches in Cyber-Physical systems like smart homes, smart vehicles, and smart grids that affect our daily existence. IoT systems are also a source of big data that gets shared via cloud. IoT systems in a smart home environment have sensitive access control issues since they are deployed in a personal space. The collected data can also be of highly personal nature. Therefore, it is critical to...]]></description>
  <dc:date>2020-05-25</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/926/Security-in-Smart-Cyber-Physical-Systems-A-Case-Study-on-Smart-Grids-and-Smart-Cars">
  <title><![CDATA[Security in Smart Cyber-Physical Systems: A Case Study on Smart Grids and Smart Cars]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/926/Security-in-Smart-Cyber-Physical-Systems-A-Case-Study-on-Smart-Grids-and-Smart-Cars</link>
  <description><![CDATA[Smart cyber-physical systems (CPS) form an integral part of Smart Cities, and are deployed in various domains, such as energy and transportation. In general, a smart CPS senses data from the physical world and uses cyber capabilities to transmit and analyze this data for making intelligent decisions in their respective domains. However, the growing number of cyberattacks against CPSs can badly affect their reputation and wide-scale acceptability. The Ukrainian smart grid attack and Jeep hack ...]]></description>
  <dc:date>2018-12-24</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/857/Automating-Class-Instance-Representational-Choices-in-Knowledge-Bases">
  <title><![CDATA[Automating Class/Instance Representational Choices in Knowledge Bases]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/857/Automating-Class-Instance-Representational-Choices-in-Knowledge-Bases</link>
  <description><![CDATA[We present a method for making decisions as to whether an entity in a knowledge base should be a class or an instance based on external evidence in the form of corresponding textual corpora such as Wikipedia articles. The approach, based on machine classification of the text, avoids the need for feature engineering and provides valuable guidance when building or refining large knowledge bases. The approach works well over different domains and outperforms a variety of other state-of-the-art a...]]></description>
  <dc:date>2018-10-31</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/802/Bid-Modification-Attack-in-Smart-Grid-for-Monetary-Benefits">
  <title><![CDATA[Bid Modification Attack in Smart Grid for Monetary Benefits]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/802/Bid-Modification-Attack-in-Smart-Grid-for-Monetary-Benefits</link>
  <description><![CDATA[In the quest for reliability and automation, the entire smart grid operation and control depends on the communication infrastructure. This reliance on the information and communication technologies has also opened up possibilities of cyber intrusions. In this paper, a bid modification attack on the power exchange server is presented with the aim of gaining monetary benefits in the real-time power market. The attack is modelled for PJM 5 bus and IEEE 14 bus test system. The minimum number of l...]]></description>
  <dc:date>2016-12-19</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/803/Feasibility-and-mitigation-of-false-data-injection-attacks-in-smart-grid">
  <title><![CDATA[Feasibility and mitigation of false data injection attacks in smart grid]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/803/Feasibility-and-mitigation-of-false-data-injection-attacks-in-smart-grid</link>
  <description><![CDATA[The power grid is evolving rapidly. With the addition of micro-grids and renewable energy resources, and increasing automation in decision-making enabled by sensors, the grid has become very complex. Research in the area of smart grids shows that the grid is vulnerable to cyber-attacks. In particular, recent studies reveals how false data injection could lead to variety of problems in the smart grid operation. A well-crafted attack can pass the bad data detection systems during state estimati...]]></description>
  <dc:date>2016-03-04</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/721/Semantic-Interpretation-of-Structured-Log-Files">
  <title><![CDATA[Semantic Interpretation of Structured Log Files]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/721/Semantic-Interpretation-of-Structured-Log-Files</link>
  <description><![CDATA[Log files comprise a record of different events happening in various applications, operating systems and even in network devices. Originally they were used to record in- formation for diagnostic and debugging purposes. Nowadays, logs are also used to track events which can be used in auditing and forensics in case of malicious activities or sys- tems attacks. Various softwares like intrusion detection systems, webservers, anti-virus and anti-malware systems, firewalls and network devices gene...]]></description>
  <dc:date>2015-08-01</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/650/PROB-A-tool-for-Tracking-Provenance-and-Reproducibility-of-Big-Data-Experiments">
  <title><![CDATA[PROB: A tool for Tracking Provenance and Reproducibility of Big Data Experiments]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/650/PROB-A-tool-for-Tracking-Provenance-and-Reproducibility-of-Big-Data-Experiments</link>
  <description><![CDATA[Reproducibility of computations and data provenance are very important goals to achieve in order to improve the quality of one's research. Unfortunately, despite some efforts made in the past, it is still very hard to reproduce computational experiments with high degree of certainty. The Big Data phenomenon in recent years makes this goal even harder to achieve. In this work, we propose a tool that aids researchers to improve reproducibility of their experiments through automated keeping of p...]]></description>
  <dc:date>2014-03-02</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/594/A-Semantic-Approach-to-Situational-Awareness-for-Intrusion-Detection">
  <title><![CDATA[A Semantic Approach to Situational Awareness for Intrusion Detection]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/594/A-Semantic-Approach-to-Situational-Awareness-for-Intrusion-Detection</link>
  <description><![CDATA[We describe a situation-aware intrusion detection system that integrates heterogeneous sources of information to build and maintain a semantically rich knowledge-base about cyber threats and vulnerabilities.  Most current intrusion detection and prevention systems rely on signature-based approaches to detect attacks. When an attack signature is not available, such as for a new exploit or a significantly modified known one, such systems are much less effective. Moreover, these intrusion detect...]]></description>
  <dc:date>2012-06-11</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/120/MANET-IDS-Glomosim-Simulation-Files">
  <title><![CDATA[MANET IDS Glomosim Simulation Files]]></title>
  <link>http://ebiquity.umbc.edu/resource/html/id/120/MANET-IDS-Glomosim-Simulation-Files</link>
  <description><![CDATA[Simulation Parameters for MANET IDS using Glomosim and BonnMotion]]></description>
  <dc:date>2005-05-18</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/resource/html/id/327/situational-awareness-for-cybersecurity">
  <title><![CDATA[situational awareness for cybersecurity]]></title>
  <link>http://ebiquity.umbc.edu/resource/html/id/327/situational-awareness-for-cybersecurity</link>
  <description><![CDATA[We describe a current project    aimed at developing a situational awareness framework to (1) detect potential new vulnerabilities from Web descriptions and discussions, extract information and map to IDS knowledge base, (2) recognize potential attacks and intrusions in data from low level intrusion detection systems and map to IDS knowledge base, and (3) integrate and reason over results of (1) and (2) to identify actual attacks.]]></description>
  <dc:date>2011-10-21</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/resource/html/id/104/Source-code-for-MANET-IDS">
  <title><![CDATA[Source code for MANET IDS]]></title>
  <link>http://ebiquity.umbc.edu/resource/html/id/104/Source-code-for-MANET-IDS</link>
  <description><![CDATA[The source is available for use in the Public Domain under the General GPL (C) UMBC. Please refer to the license terms in the source code.

The tarball contains the full source code and documentation for an intrusion detection system we have developed for Mobile ad hoc networks. The zipped tarball also contains libpcap and a binary compiled for ARM.

Please refer to the paper "Secure routing and Intrusion Detection for Mobile Ad Hoc Networks" for details on the implementation. The documen...]]></description>
  <dc:date>2005-03-23</dc:date>
 </item>
</rdf:RDF>
