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» A nonself space approach to network anomaly detection
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EWSN
2008
Springer
15 years 9 months ago
Spatiotemporal Anomaly Detection in Gas Monitoring Sensor Networks
In this paper3 , we use Bayesian Networks as a means for unsupervised learning and anomaly (event) detection in gas monitoring sensor networks for underground coal mines. We show t...
X. Rosalind Wang, Joseph T. Lizier, Oliver Obst, M...
ISDA
2010
IEEE
14 years 7 months ago
Detecting anomalies in spatiotemporal data using genetic algorithms with fuzzy community membership
A genetic algorithm is combined with two variants of the modularity (Q) network analysis metric to examine a substantial amount fisheries catch data. The data set produces one of t...
Garnett Carl Wilson, Simon Harding, Orland Hoeber,...
USS
2004
14 years 11 months ago
On Gray-Box Program Tracking for Anomaly Detection
Many host-based anomaly detection systems monitor a process ostensibly running a known program by observing the system calls the process makes. Numerous improvements to the precis...
Debin Gao, Michael K. Reiter, Dawn Xiaodong Song
RAID
2010
Springer
14 years 8 months ago
Anomaly Detection and Mitigation for Disaster Area Networks
Abstract. One of the most challenging applications of wireless networking are in disaster area networks where lack of infrastructure, limited energy resources, need for common oper...
Jordi Cucurull, Mikael Asplund, Simin Nadjm-Tehran...
SCN
2008
Springer
136views Communications» more  SCN 2008»
14 years 9 months ago
An efficient data structure for network anomaly detection
Abstract-- Despite the rapid advance in networking technologies, detection of network anomalies at high-speed switches/routers is still far from maturity. To push the frontier, two...
Jieyan Fan, Dapeng Wu, Kejie Lu, Antonio Nucci