46 search results - page 2 / 10 » Data fusion algorithms for network anomaly detection: classi... |
ACSC
2005
IEEE
13 years 11 months ago
2005
IEEE
Most current network intrusion detection systems employ signature-based methods or data mining-based methods which rely on labelled training data. This training data is typically ...
ICNC
2005
Springer
13 years 11 months ago
2005
Springer
The DARPA/MIT Lincoln Laboratory off-line intrusion detection evaluation data set is the most widely used public benchmark for testing intrusion detection systems. But the presence...
ICDCSW
2005
IEEE
13 years 11 months ago
2005
IEEE
Anomaly detection in IP networks, detection of deviations from what is considered normal, is an important complement to misuse detection based on known attack descriptions. Perfor...
CCS
2009
ACM
14 years 8 days ago
2009
ACM
Anomaly detection for network intrusion detection is usually considered an unsupervised task. Prominent techniques, such as one-class support vector machines, learn a hypersphere ...
ACSAC
2004
IEEE
13 years 9 months ago
2004
IEEE
One of the biggest obstacles faced by user command based anomaly detection techniques is the paucity of data. Gathering command data is a slow process often spanning months or yea...