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» NADA - Network Anomaly Detection Algorithm
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DMIN
2006
152views Data Mining» more  DMIN 2006»
13 years 10 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
CORR
2008
Springer
106views Education» more  CORR 2008»
13 years 9 months ago
Dempster-Shafer for Anomaly Detection
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
ADMA
2006
Springer
112views Data Mining» more  ADMA 2006»
14 years 3 months ago
Finding Time Series Discords Based on Haar Transform
The problem of finding anomaly has received much attention recently. However, most of the anomaly detection algorithms depend on an explicit definition of anomaly, which may be i...
Ada Wai-Chee Fu, Oscar Tat-Wing Leung, Eamonn J. K...
CORR
2010
Springer
139views Education» more  CORR 2010»
13 years 9 months ago
Information Fusion for Anomaly Detection with the Dendritic Cell Algorithm
Dendritic cells are antigen presenting cells that provide a vital link between the innate and adaptive immune system, providing the initial detection of pathogenic invaders. Resea...
Julie Greensmith, Uwe Aickelin, Gianni Tedesco
GECCO
2005
Springer
158views Optimization» more  GECCO 2005»
14 years 2 months ago
Applying both positive and negative selection to supervised learning for anomaly detection
This paper presents a novel approach of applying both positive selection and negative selection to supervised learning for anomaly detection. It first learns the patterns of the n...
Xiaoshu Hang, Honghua Dai