16 search results - page 1 / 4 » On Threshold Selection for Principal Component Based Network... |
137
Voted
CNSR
2011
IEEE
14 years 1 months ago
2011
IEEE
—Principal component based anomaly detection has emerged as an important statistical tool for network anomaly detection. It works by projecting summary network information onto a...
114
Voted
IEEEARES
2006
IEEE
15 years 4 months ago
2006
IEEE
Most current anomaly Intrusion Detection Systems (IDSs) detect computer network behavior as normal or abnormal but cannot identify the type of attacks. Moreover, most current intr...
82
Voted
APNOMS
2006
Springer
15 years 2 months ago
2006
Springer
Many research works address detection and identification of network anomalies using traffic analysis. This paper considers large topologies, such as those of an ISP, with traffic a...
107
Voted
ICNS
2007
IEEE
15 years 4 months ago
2007
IEEE
In this paper, the problem of discovering anomalies in a large-scale network based on the data fusion of heterogeneous monitors is considered. We present a classification of anoma...
74
Voted
ICASSP
2009
IEEE
15 years 2 months ago
2009
IEEE
We consider principal component analysis (PCA) in decomposable Gaussian graphical models. We exploit the prior information in these models in order to distribute its computation. ...