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IPPS
2005
IEEE
13 years 10 months ago
Some Issues in Solving the Anomaly Detection Problem using Immunological Approach
Results of an experimental study of an anomaly detection system based on the paradigm of artificial immune systems (AISs) are presented. Network traffic data are mapped into ant...
Franciszek Seredynski, Pascal Bouvry
KDD
2005
ACM
193views Data Mining» more  KDD 2005»
14 years 5 months ago
An approach to spacecraft anomaly detection problem using kernel feature space
Development of advanced anomaly detection and failure diagnosis technologies for spacecraft is a quite significant issue in the space industry, because the space environment is ha...
Ryohei Fujimaki, Takehisa Yairi, Kazuo Machida
SDM
2009
SIAM
202views Data Mining» more  SDM 2009»
14 years 1 months ago
Proximity-Based Anomaly Detection Using Sparse Structure Learning.
We consider the task of performing anomaly detection in highly noisy multivariate data. In many applications involving real-valued time-series data, such as physical sensor data a...
Tsuyoshi Idé, Aurelie C. Lozano, Naoki Abe,...
INFOCOM
2009
IEEE
13 years 11 months ago
ALDO: An Anomaly Detection Framework for Dynamic Spectrum Access Networks
—Dynamic spectrum access has been proposed as a means to share scarce radio resources, and requires devices to follow protocols that use resources in a proper, disciplined manner...
Song Liu, Yingying Chen, Wade Trappe, Larry J. Gre...
CNSR
2011
IEEE
257views Communications» more  CNSR 2011»
12 years 8 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