31 search results - page 2 / 7 » Detecting Network Anomalies Using CUSUM and EM Clustering |
INFOCOM
2010
IEEE
13 years 8 months ago
2010
IEEE
—Traffic anomaly detection has received a lot of attention over recent years, but understanding the nature of these anomalies and identifying the flows involved is still a manu...
TJS
2010
13 years 8 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 ...
VLDB
2007
ACM
14 years 10 months ago
2007
ACM
Whenever an intrusion occurs, the security and value of a computer system is compromised. Network-based attacks make it difficult for legitimate users to access various network ser...
ECBS
2007
IEEE
13 years 11 months ago
2007
IEEE
Machine learning has great utility within the context of network intrusion detection systems. In this paper, a behavior analysis-based learning framework for host level network in...
ITIIS
2010
13 years 8 months ago
2010
Traffic matrix-based anomaly detection and DDoS attacks detection in networks are research focus in the network security and traffic measurement community. In this paper, firstly,...