A Framework for Constructing Features and Models for Intrusion Detection Systems (2000)

by Wenke Lee , Salvatore J. Stolfo
Venue:ACM Transactions on Information and System Security
Citations:180 - 7 self

Active Bibliography

4 Anomaly Detection for HTTP Intrusion Detection: Algorithm Comparisons and the Effect of Generalization on Accuracy – Kenneth LeRoy Ingham, III - 2007
39 A Data Mining Framework for Constructing Features and Models for Intrusion Detection Systems – Wenke Lee - 1999
264 A data mining framework for building intrusion detection models – Wenke Lee, Salvatore J. Stolfo, Kui W. Mok - 1999
Behavioral feature Extraction for NETWORK ANOMALY DETECTION – James P. Early - 2005
122 Information-Theoretic Measures for Anomaly Detection – Wenke Lee, Dong Xiang - 2001
A Data Mining Framework for Building Intrusion Detection Models ∗ – unknown authors
INTRUSION DETECTION AND RESPONSE SYSTEMS FOR MOBILE AD HOC NETWORKS Approved by: – Wenke Lee Advisor, Mustaque Ahamad, Umakishore Ramachandran, Jonathon Giffin, Chuanyi Ji, To Thank Xinzhou Qin, David Dagon, Guofei Gu, Prahlad Fogla, Monirul Sharif - 2006
Abstract A Data Mining Framework for Building Intrusion Detection Models 1 – Wenke Lee, Salvatore J. Stolfo, Kui W. Mok
329 Data Mining Approaches for Intrusion Detection – Wenke Lee, Salvatore J. Stolfo