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» Detecting Anomalies and Intruders
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ISI
2008
Springer
13 years 5 months ago
Anomaly detection in high-dimensional network data streams: A case study
In this paper, we study the problem of anomaly detection in high-dimensional network streams. We have developed a new technique, called Stream Projected Ouliter deTector (SPOT), t...
Ji Zhang, Qigang Gao, Hai H. Wang
NIPS
2004
13 years 8 months ago
Active Learning for Anomaly and Rare-Category Detection
We introduce a novel active-learning scenario in which a user wants to work with a learning algorithm to identify useful anomalies. These are distinguished from the traditional st...
Dan Pelleg, Andrew W. Moore
RAID
1999
Springer
13 years 11 months ago
Towards trapping wily intruders in the large
The rapid increase in network bandwidth from mega bits per second to giga bits per second and potentially to tera bits per second, is making it increasingly difficult to carry out...
Glenn Mansfield
ISI
2008
Springer
13 years 7 months ago
Analysis of cyberactivism: A case study of online free Tibet activities
In this paper, we study the problem of anomaly detection in high-dimensional network streams. We have developed a new technique, called Stream Projected Ouliter deTector (SPOT), t...
Tianjun Fu, Hsinchun Chen
FLAIRS
2009
13 years 5 months ago
Discovering Anomalies to Multiple Normative Patterns in Structural and Numeric Data
One of the primary issues with traditional anomaly detection approaches is their inability to handle complex, structural data. One approach to this issue involves the detection of...
William Eberle, Lawrence B. Holder