201 search results - page 35 / 41 » Active learning for network intrusion detection |
ACSW
2006
14 years 4 days ago
2006
1 The arrival of any piece of unsolicited and unwanted email (spam) into a user's email inbox is a problem. It results in real costs to organisations and possibly an increasin...
VIZSEC
2004
Springer
14 years 4 months ago
2004
Springer
This paper examines the dramatic visual fingerprints left by a wide variety of popular network attack tools in order to better understand the specific methodologies used by attack...
COMAD
2009
13 years 12 months ago
2009
Mining evolving data streams for concept drifts has gained importance in applications like customer behavior analysis, network intrusion detection, credit card fraud detection. Se...
IJCV
2010
13 years 9 months ago
2010
We propose a novel approach to understanding
activities from their partial observations monitored through
multiple non-overlapping cameras separated by unknown time
gaps. In our...
IJON
2006
13 years 10 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...