Network Infrastructure

• 
  Marcus Tylutki, Karl N. Levitt: Mitigating Distributed Denial of Service Attacks Using a Proportional-Integral-Derivative Controller. 1-16
• 
  Christopher Krügel, Darren Mutz, William K. Robertson, Fredrik Valeur: Topology-Based Detection of Anomalous BGP Messages. 17-35

Anomaly Detection I

• 
  Manikantan Ramadas, Shawn Ostermann, Brett C. Tjaden: Detecting Anomalous Network Traffic with Self-organizing Maps. 36-54
• 
  Ajay K. Gupta, R. Sekar: An Approach for Detecting Self-propagating Email Using Anomaly Detection. 55-72

Correlation

• 
  Xinzhou Qin, Wenke Lee: Statistical Causality Analysis of INFOSEC Alert Data. 73-93
• 
  Benjamin Morin, Hervé Debar: Correlation of Intrusion Symptoms: An Application of Chronicles. 94-112

Modeling and Specification

• 
  Jeffrey Undercoffer, Anupam Joshi, John Pinkston: Modeling Computer Attacks: An Ontology for Intrusion Detection. 113-135
• 
  Ivan Balepin, Sergei Maltsev, Jeff Rowe, Karl N. Levitt: Using Specification-Based Intrusion Detection for Automated Response. 136-154

IDS Sensors

• 
  Lambert Schaelicke, Thomas Slabach, Branden J. Moore, Curt Freeland: Characterizing the Performance of Network Intrusion Detection Sensors. 155-172
• 
  Christopher Krügel, Thomas Toth: Using Decision Trees to Improve Signature-Based Intrusion Detection. 173-191
• 
  Greg Taleck: Ambiguity Resolution via Passive OS Fingerprinting. 192-206

Anomaly Detection II

• 
  Sung-Bae Cho, Sang-Jun Han: Two Sophisticated Techniques to Improve HMM-Based Intrusion Detection Systems. 207-219
• 
  Matthew V. Mahoney, Philip K. Chan: An Analysis of the 1999 DARPA/Lincoln Laboratory Evaluation Data for Network Anomaly Detection. 220-237

last updated on Wed May 22 02:58:20 2013 by the dblp team
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