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Anomaly detection at "supersonic" speed

 
: Grozea, Cristian; Laskov, Pavel

:

Information technology : it 54 (2012), No.2, pp.82-89
ISSN: 1611-2776
English
Journal Article
Fraunhofer FIRST ()
network anomaly detection; machine learning; network security; real-time

Abstract
In this paper we show for the first time a system capable of analyzing in real-time network content for anomaly/intrusion detection at traffic speeds of well over 1Gbps, realized in software on multi-core machines.

: http://publica.fraunhofer.de/documents/N-256578.html