PREDICTIVE MACHINE LEARNING ARCHITECTURE FOR IDENTIFYING GAPS IN NETWORK ACTIVITY

Systems and methods for classifying gaps in network activity as normal or anomalous are disclosed. A computer system can identify time gaps between successive network events, which can comprise communications or interactions between entities or devices on a network. The computer system can identify...

Ausführliche Beschreibung

Bibliographische Detailangaben

Hauptverfasser:	Eskamani, Arya, Kumar, Debesh, Cacicedo, Tomas
Format:	Patent
Sprache:	eng
Schlagworte:	CALCULATING COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS COMPUTING COUNTING PHYSICS
Online-Zugang:	Volltext bestellen
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