DEVICE CLASSIFICATION USING MACHINE LEARNING MODELS

Abstract: a system is configured to obtain data associated with a first device, based on network traffic. the system determines a first classification for the first device based on the data, including to determine that a first confidence level that is associated with the first classification satisfies a first threshold. in response to the first confidence level satisfying the first threshold, the system selects at least a last model from a plurality of machine learning models based on the first classification. the system determine a last classification for the first device based on the last model, including determining that a last confidence level that is associated with the last classification satisfies a last threshold. the system stores at least one of the first classification and the last classification.

Inventor(s): Itai Koren, Zvika Plotkin

CPC Classification: H04L47/2441 (relying on flow classification, e.g. using integrated services [IntServ])

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