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Catch It If You Can: Real-Time Network Anomaly Detection with Low False Alarm Rates.
Georgios Kathareios
Andreea Anghel
Akos Mate
Rolf Clauberg
Mitch Gusat
Published in:
ICMLA (2017)
Keyphrases
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network anomaly detection
real time
anomaly detection
low false alarm rate
network intrusion detection
self organizing maps
information systems
machine learning
social networks
recognition rate
quality of service
detection rate