Continuous learning for intrusion detection

Balancing the observed signals used to train network intrusion detection models allows for a more accurate allocation of computing resources to defend the network from malicious parties. The models are trained against live data defined within a rolling window and historic data to detect user-defined...

Ausführliche Beschreibung

Bibliographische Detailangaben

Hauptverfasser:	Luo, Pengcheng, Briggs, Reeves Hoppe, Ahmad, Naveed
Format:	Patent
Sprache:	eng
Schlagworte:	CALCULATING COMPUTING COUNTING ELECTRIC DIGITAL DATA PROCESSING PHYSICS
Online-Zugang:	Volltext bestellen
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