226 search results - page 4 / 46 » Application of Data Mining to Network Intrusion Detection: C... |
HICSS
2008
IEEE
14 years 2 months ago
2008
IEEE
—The feature selection phase is one of the first, and yet very important, tasks to be completed during the development of any Intrusion Detection System. If this phase is neglec...
GPEM
2010
13 years 6 months ago
2010
A distributed data mining algorithm to improve the detection accuracy when classifying malicious or unauthorized network activity is presented. The algorithm is based on genetic p...
KDD
2003
ACM
14 years 8 months ago
2003
ACM
Anomaly detection is an area that has received much attention in recent years. It has a wide variety of applications, including fraud detection and network intrusion detection. A ...
PKDD
2009
Springer
14 years 2 months ago
2009
Springer
A frequent problem in density level-set estimation is the choice of the right features that give rise to compact and concise representations of the observed data. We present an e...
ACSAC
1999
IEEE
13 years 12 months ago
1999
IEEE
Differentiating anomalous network activity from normal network traffic is difficult and tedious. A human analyst must search through vast amounts of data to find anomalous sequenc...