Network traffic anomaly detection method based on deep neural network

The invention discloses a network flow anomaly detection model and method based on a deep neural network, and the method comprises the steps: obtaining a data set, carrying out the feature extraction, obtaining benign common network attack data and system state data, and dividing the data into a tra...

Ausführliche Beschreibung

Bibliographische Detailangaben

Hauptverfasser:	LIU JIE, TIAN MING, SUN HEYAN
Format:	Patent
Sprache:	chi ; eng
Schlagworte:	CALCULATING COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS COMPUTING COUNTING ELECTRIC COMMUNICATION TECHNIQUE ELECTRICITY PHYSICS TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHICCOMMUNICATION
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