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ADMA
2006
Springer
112views Data Mining» more  ADMA 2006»
14 years 1 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...
ICASSP
2011
IEEE
12 years 11 months ago
A new criterion for optimal constrained minimax detection and classification
This paper adresses the problem of anomaly detection and classification by using a noisy measurement vector corrupted by some linear unknown nuisance parameters. An invariant con...
Lionel Fillatre, Igor Nikiforov
SUTC
2006
IEEE
14 years 1 months ago
Native API Based Windows Anomaly Intrusion Detection Method Using SVM
While many researches of Host Anomaly Detection System using system calls under UNIX/UNIX-like systems have been done but little in Windows systems, we do the similar research und...
Miao Wang, Cheng Zhang, Jingjing Yu
ISNN
2005
Springer
14 years 1 months ago
Anomaly Internet Network Traffic Detection by Kernel Principle Component Classifier
As a crucial issue in computer network security, anomaly detection is receiving more and more attention from both application and theoretical point of view. In this paper, a novel ...
Hanghang Tong, Chongrong Li, Jingrui He, Jiajian C...
SAC
2010
ACM
14 years 15 days ago
Data stream anomaly detection through principal subspace tracking
We consider the problem of anomaly detection in multiple co-evolving data streams. In this paper, we introduce FRAHST (Fast Rank-Adaptive row-Householder Subspace Tracking). It au...
Pedro Henriques dos Santos Teixeira, Ruy Luiz Mili...