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» Mining Audit Data to Build Intrusion Detection Models
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KDD
2012
ACM
205views Data Mining» more  KDD 2012»
11 years 10 months ago
Intrusion as (anti)social communication: characterization and detection
A reasonable definition of intrusion is: entering a community to which one does not belong. This suggests that in a network, intrusion attempts may be detected by looking for com...
Qi Ding, Natallia Katenka, Paul Barford, Eric D. K...
KDD
2002
ACM
144views Data Mining» more  KDD 2002»
14 years 8 months ago
ADMIT: anomaly-based data mining for intrusions
Security of computer systems is essential to their acceptance and utility. Computer security analysts use intrusion detection systems to assist them in maintaining computer system...
Karlton Sequeira, Mohammed Javeed Zaki
NSPW
2004
ACM
14 years 1 months ago
The role of suspicion in model-based intrusion detection
We argue in favor of the explicit inclusion of suspicion as a concrete concept to be used in the analysis of audit data in order to guide the search for evidence of misuse. Our ap...
Timothy Hollebeek, Rand Waltzman
ICDCSW
2005
IEEE
14 years 1 months ago
Adaptive Real-Time Anomaly Detection with Improved Index and Ability to Forget
Anomaly detection in IP networks, detection of deviations from what is considered normal, is an important complement to misuse detection based on known attack descriptions. Perfor...
Kalle Burbeck, Simin Nadjm-Tehrani
ICONIP
2004
13 years 9 months ago
Hybrid Feature Selection for Modeling Intrusion Detection Systems
Most of the current Intrusion Detection Systems (IDS) examine all data features to detect intrusion or misuse patterns. Some of the features may be redundant or contribute little (...
Srilatha Chebrolu, Ajith Abraham, Johnson P. Thoma...