21 search results - page 2 / 5 » Anomaly detection in high-dimensional network data streams: ... |
SDM
2009
SIAM
14 years 1 months ago
2009
SIAM
Anomaly detection in multivariate time series is an important data mining task with applications to ecosystem modeling, network traffic monitoring, medical diagnosis, and other d...
RAID
2009
Springer
13 years 11 months ago
2009
Springer
Abstract. We propose a novel framework of autonomic intrusion detection that fulfills online and adaptive intrusion detection in unlabeled audit data streams. The framework owns a...
ICDCS
2012
IEEE
11 years 7 months ago
2012
IEEE
Operational network data, management data such as customer care call logs and equipment system logs, is a very important source of information for network operators to detect prob...
MLDM
2009
Springer
13 years 11 months ago
2009
Springer
We face the problem of novelty detection from stream data, that is, the identification of new or unknown situations in an ordered sequence of objects which arrive on-line, at cons...
ICDCS
2006
IEEE
13 years 10 months ago
2006
IEEE
Global-scale attacks like viruses and worms are increasing in frequency, severity and sophistication, making it critical to detect outbursts at routers/gateways instead of end hos...