51 search results - page 2 / 11 » On Detecting Clustered Anomalies Using SCiForest |
ICPPW
2008
IEEE
13 years 11 months ago
2008
IEEE
In this paper, we describe disparity, a tool that does parallel, scalable anomaly detection for clusters. Disparity uses basic statistical methods and scalable reduction operation...
INFOCOM
2010
IEEE
13 years 3 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 3 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 ...
ICIP
2007
IEEE
14 years 7 months ago
2007
IEEE
A key goal of far-field activity analysis is to learn the usual pattern of activity in a scene and to detect statistically anomalous behavior. We propose a method for unsupervised...
VLDB
2007
ACM
14 years 5 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...