- A Cooperative Intrusion Detection System for Ad Hoc Yi-an Huang
- Protecting Secret Data from Insider Attacks David Dagon, Wenke Lee, and Richard Lipton
- Attack Analysis and Detection for Ad Hoc Routing Protocols
- Mining in a Dataflow Environment: Experience in Network Intrusion Wenke Lee Salvatore J. Stolfo Kui W. Mok
- 1 ALGORITHMS FOR MINING SYSTEM AUDIT DATA #
- Performance Adaptation in Real-Time Intrusion Detection Systems
- Proceedings of the 43rd IEEE Conference on Decision and Control, Bahamas, December 2004 On the Statistical Distribution of Processing Times
- Data Mining Approaches for Intrusion Detection \Lambda Wenke Lee Salvatore J. Stolfo
- Adaptive Intrusion Detection: a Data Mining Approach \Lambda Wenke Lee (wenke@cs.columbia.edu) and Salvatore J. Stolfo (sal@cs.columbia.edu)
- A Framework for Constructing Features and Models for Intrusion Detection Systems
- Toward CostSensitive Modeling for Intrusion Detection and Computer Science Department
- A Data Mining Framework for Constructing Features and Models for Intrusion Detection
- Jadve: A Framework for GraphBased Data Visualization Applications
- Discovering Novel Attack Strategies from INFOSEC Xinzhou Qin and Wenke Lee
- Intrusion Detection in Wireless AdHoc Networks Yongguang Zhang
- Learning Patterns from Unix Process Execution Traces for Intrusion Detection 1
- Using Artificial Anomalies to Detect Unknown and Known Network Intrusions IBM T.J.Watson Research
- A Hardware Platform for Network Intrusion Detection and Prevention Chris Clark1
- Statistical Causality Analysis of INFOSEC Alert Xinzhou Qin Wenke Lee
- Grappa: a GRAPh PAckage in Java Naser S. Barghouti \Lambda
- A Data Mining and CIDF Based Approach for Detecting Novel and Distributed Intrusions
- Simulating Internet Worms George F. Riley1
- Toward CostSensitive Modeling for Intrusion Detection and College of Computing
- Interfacing Oz with the PCTE OMS: A Case Study of Integrating a Legacy System with a Standard
- Polymorphic Blending Attacks Prahlad Fogla Monirul Sharif Roberto Perdisci Oleg Kolesnikov Wenke Lee
- Misleading Worm Signature Generators Using Deliberate Noise Injection Roberto Perdisci ,
- An Extensible Environment for Evaluating Secure MANET Yongguang Zhang
- Attack Plan Recognition and Prediction Using Causal Networks Xinzhou Qin and Wenke Lee
- Mobile Networks and Applications ? (2003) 116 1 Intrusion Detection Techniques for Mobile Wireless Networks
- Cross-Feature Analysis for Detecting Ad-Hoc Routing Anomalies Yi-an Huang
- A Multiple Model Cost-Sensitive Approach for Intrusion Detection
- Anomaly Detection Using Call Stack Information Henry Hanping Feng 1 , Oleg M. Kolesnikov 2 , Prahlad Fogla 2 , Wenke Lee 2 , and Weibo Gong 1
- A Data Mining Framework for Building Intrusion Detection Models # Salvatore J. Stolfo
- Mining Audit Data to Build Intrusion Detection Models # Wenke Lee and Salvatore J. Stolfo and Kui W. Mok
- Proceedings of the 7th IFIP/IEEE International Symposium on Integrated Network Management, Seattle, WA May 1418, 2001. In Press.
- InformationTheoretic Measures for Anomaly Detection Computer Science Department
- Hotspot-Based Traceback for Mobile Ad Hoc Networks Yi-an Huang
