US 2025/0219953 A1 · 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.

Claims20

Dependent claims

A method, comprising:

obtaining data associated with a first device, based on network traffic;
determining a first classification for the first device based on the data, wherein determining the first classification comprises determining that a first confidence level that is associated with the first classification satisfies a first threshold, wherein the first classification is associated with a first classification level;
in response to the first confidence level satisfying the first threshold, selecting at least a last model from a plurality of machine learning models based on the first classification;
determining a last classification for the first device based on the last model, wherein determining the last classification comprises determining that a last confidence level that is associated with the last classification satisfies a last threshold, wherein the last classification is associated with a last classification level;
and
storing, in data storage, at least one of the first classification and the last classification.

3 more elements

A system, comprising:

a memory;
and
a processing device, operatively coupled to the memory, to:
obtain data associated with a first device, based on network traffic;
determine a first classification for the first device based on the data, wherein to determine the first classification comprises to determine that a first confidence level that is associated with the first classification satisfies a first threshold, wherein the first classification is associated with a first classification level;
in response to the first confidence level satisfying the first threshold, select at least a last model from a plurality of machine learning models based on the first classification;
determine a last classification for the first device based on the last model, wherein determining the last classification comprises determining that a last confidence level that is associated with the last classification satisfies a last threshold, wherein the last classification is associated with a last classification level;
and
store, in data storage, at least one of the first classification and the last classification.

6 more elements

A non-transitory computer readable medium having instructions encoded thereon that, when executed by a processing device, cause the processing device to:

obtain data associated with a first device, based on network traffic;
determine a first classification for the first device based on the data, wherein to determine the first classification comprises to determine that a first confidence level that is associated with the first classification satisfies a first threshold, wherein the first classification is associated with a first classification level;
in response to the first confidence level satisfying the first threshold, select at least a last model from a plurality of machine learning models based on the first classification;
determine a last classification for the first device based on the last model, wherein determining the last classification comprises determining that a last confidence level that is associated with the last classification satisfies a last threshold, wherein the last classification is associated with a last classification level;
and
store, in data storage, at least one of the first classification and the last classification.

3 more elements

Dependencies are inferred from the claim text.

Device classification using machine learning models

Life of this patent

Device classification using machine learning models

Life of this patent

Abstract

Claims20