11 search results - page 1 / 3 » Feature Selection and Intrusion Detection Using Hybrid Flexi... |
ISNN
2005
Springer
13 years 10 months ago
2005
Springer
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 (if anything)...
IJON
2006
13 years 4 months ago
2006
The purpose of this research is to develop effective machine learning or data mining techniques based on flexible neural tree FNT. Based on the pre-defined instruction/operator se...
JAIHC
2010
13 years 2 months ago
2010
The state of the art is explored in using soft computing (SC) methods for network intrusion detection, including the examination of efforts in ten specific areas of SC as well as ...
ICONIP
2004
13 years 5 months ago
2004
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 (...
ISI
2008
Springer
13 years 4 months ago
2008
Springer
An Intrusion Detection Program (IDP) analyzes what happens or has happened during an execution and tries to find indications that the computer has been misused. In this talk, we p...