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» Data Reduction and Ensemble Classifiers in Intrusion Detecti...
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AWIC
2004
Springer
13 years 10 months ago
Attribute Reduction for Effective Intrusion Detection
Abstract. Computer intrusion detection is to do with identifying computer activities that may compromise the integrity, confidentiality or the availability of an IT system. Anomaly...
Fernando Godínez, Dieter Hutter, Raul Monro...
ICONIP
2004
13 years 8 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...
IRI
2005
IEEE
14 years 9 days ago
Exploiting efficient data mining techniques to enhance intrusion detection systems
- Security is becoming a critical part of organizational information systems. Intrusion Detection System (IDS) is an important detection that is used as a countermeasure to preserv...
Chang-Tien Lu, Arnold P. Boedihardjo, Prajwal Mana...
SDM
2004
SIAM
187views Data Mining» more  SDM 2004»
13 years 8 months ago
Class-Specific Ensembles for Active Learning
In many real-world tasks of image classification, limited amounts of labeled data are available to train automatic classifiers. Consequently, extensive human expert involvement is...
Amit Mandvikar, Huan Liu
CCS
2008
ACM
13 years 8 months ago
Principled reasoning and practical applications of alert fusion in intrusion detection systems
It is generally believed that by combining several diverse intrusion detectors (i.e., forming an IDS ensemble), we may achieve better performance. However, there has been very lit...
Guofei Gu, Alvaro A. Cárdenas, Wenke Lee