93 search results - page 3 / 19 » Data Reduction and Ensemble Classifiers in Intrusion Detecti... |
PCM
2007
Springer
14 years 26 days ago
2007
Springer
A novel method for creating diverse ensembles of image classifiers is proposed. The idea is that, for each base image classifier in the ensemble, a random image transformation is g...
ICTAI
2005
IEEE
14 years 10 days ago
2005
IEEE
Learning from noisy data is a challenging and reality issue for real-world data mining applications. Common practices include data cleansing, error detection and classifier ensemb...
CORR
2008
Springer
13 years 6 months ago
2008
Springer
: Network intrusion detection sensors are usually built around low level models of network traffic. This means that their output is of a similarly low level and as a consequence, ...
ICAPR
2005
Springer
14 years 7 days ago
2005
Springer
In this paper an intrusion detection algorithm based on GP ensembles is proposed. The algorithm runs on a distributed hybrid multiisland model-based environment to monitor security...
APNOMS
2008
Springer
13 years 8 months ago
2008
Springer
As network attacks have increased in number and severity over the past few years, intrusion detection system (IDS) is increasingly becoming a critical component to secure the netwo...