NETWORK DEVICE IDENTIFICATION

NETWORK DEVICE IDENTIFICATION

Machine learning techniques are described for analyzing information network traffic to identify different devices connected to a network. Transmitted network packets may be passively collected and analyzed. In some cases the described techniques may be used to identify distinct devices connected to...

Ausführliche Beschreibung

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Bibliographische Detailangaben
Hauptverfasser: Pandian, Gnanaprakasam, Doraiswami, Vijayaraghavan, Vinayagam, Vivekanandan, Yang, Sheausong
Format: Patent
Sprache:eng
Schlagworte:
CALCULATING
COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
COMPUTING
COUNTING
PHYSICS
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Beschreibung
Zusammenfassung:Machine learning techniques are described for analyzing information network traffic to identify different devices connected to a network. Transmitted network packets may be passively collected and analyzed. In some cases the described techniques may be used to identify distinct devices connected to a network even though the collected and analyzed packets may lack a unique device identifier, such as a media access control (MAC) identifier, corresponding to a device that originated the packets.