44 search results - page 1 / 9 » Learning nonstationary models of normal network traffic for ... |
KDD
2002
ACM
14 years 4 months ago
2002
ACM
Traditional intrusion detection systems (IDS) detect attacks by comparing current behavior to signatures of known attacks. One main drawback is the inability of detecting new atta...
ISMIS
2005
Springer
13 years 10 months ago
2005
Springer
Abstract. Anomaly detection is based on profiles that represent normal behaviour of users, hosts or networks and detects attacks as significant deviations from these profiles. In t...
TJS
2010
13 years 2 months ago
2010
This paper presents a novel host-based combinatorial method based on k-Means clustering and ID3 decision tree learning algorithms for unsupervised classification of anomalous and ...
RAID
2000
Springer
13 years 8 months ago
2000
Springer
Inference methods for detecting attacks on information resources typically use signature analysis or statistical anomaly detection methods. The former have the advantage of attack...
IJDSN
2006
13 years 4 months ago
2006
Security is a critical challenge for creating robust and reliable sensor networks. For example, routing attacks have the ability to disconnect a sensor network from its central ba...