25 search results - page 3 / 5 » Active Learning for Anomaly and Rare-Category Detection |
ECBS
2007
IEEE
13 years 7 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...
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...
KDD
2008
ACM
14 years 6 months ago
2008
ACM
We propose a new method for detecting patterns of anomalies in categorical datasets. We assume that anomalies are generated by some underlying process which affects only a particu...
ISSRE
2003
IEEE
13 years 11 months ago
2003
IEEE
Reproducing and learning from failures in deployed software is costly and difficult. Those activities can be facilitated, however, if the circumstances leading to a failure are p...
CCS
2007
ACM
13 years 11 months ago
2007
ACM
Intrusion detection is a critical component of secure information systems. Network anomaly detection has been an active and difficult research topic in the field of Intrusion Dete...