Device classification using machine learning models
US11689468B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Dec 31, 2020 |
| Grant date | Jun 27, 2023 |
| Priority date | — |
| Expiry date | May 1, 2041 |
Classification
- Technology area (CPC H)Electricity
- CPC primaryH04L67/34
- WIPO fieldDigital communication
- WIPO sectorElectrical engineering
Abstract
Systems, methods, and related technologies for classification are described. Network traffic transmitted by a first device is obtained. A set of features is determined based on the network traffic. A first classification for the device is determine a first classification for the first device based on the set of features. The first classification is associated with a first classification level. A second machine learning model is identified based on the first classification. The second machine learning model is associated with the first classification. A second classification for the first device is determined based on the second machine learning model. The second classification is associated with a second classification level. At least one of the first classification and the second classification is stored.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.