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» Detecting Anomalies and Intruders
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CNSR
2011
IEEE
257views Communications» more  CNSR 2011»
13 years 1 months ago
On Threshold Selection for Principal Component Based Network Anomaly Detection
—Principal component based anomaly detection has emerged as an important statistical tool for network anomaly detection. It works by projecting summary network information onto a...
Petar Djukic, Biswajit Nandy
SDM
2009
SIAM
291views Data Mining» more  SDM 2009»
14 years 7 months ago
Detection and Characterization of Anomalies in Multivariate Time Series.
Anomaly detection in multivariate time series is an important data mining task with applications to ecosystem modeling, network traffic monitoring, medical diagnosis, and other d...
Christopher Potter, Haibin Cheng, Pang-Ning Tan, S...
ACSAC
1998
IEEE
14 years 2 months ago
Detecting Anomalous and Unknown Intrusions Against Programs
The ubiquity of the Internet connection to desktops has been both boon to business as well as cause for concern for the security of digital assets that may be unknowingly exposed....
Anup K. Gosh, James Wanken, Frank Charron
IJNSEC
2007
125views more  IJNSEC 2007»
13 years 9 months ago
An Observation-Centric Analysis on the Modeling of Anomaly-based Intrusion Detection
It is generally agreed that two key points always attract special concerns during the modelling of anomaly-based intrusion detection. One is the techniques about discerning two cl...
Zonghua Zhang, Hong Shen, Yingpeng Sang
DMIN
2006
152views Data Mining» more  DMIN 2006»
13 years 11 months ago
Anomaly Detection Using the Dempster-Shafer Method
In this paper, we implement an anomaly detection system using the Dempster-Shafer method. Using two standard benchmark problems we show that by combining multiple signals it is pos...
Qi Chen, Uwe Aickelin