Active learning for interactive labeling of new device types based on limited feedback
US11100364B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Nov 19, 2018 |
| Grant date | Aug 24, 2021 |
| Priority date | — |
| Expiry date | May 9, 2039 |
Classification
- Technology area (CPC H)Electricity
- CPC primaryH04L67/30
- WIPO fieldDigital communication
- WIPO sectorElectrical engineering
Abstract
In one embodiment, a device clusters traffic feature vectors for a plurality of endpoints in a network into a set of clusters. Each traffic feature vector comprises traffic telemetry data captured for one of the endpoints. The device selects one of the clusters for labeling, based in part on contextual data associated with the clusters that was not used to form the clusters. The device obtains a device type label for the selected cluster by providing data regarding the selected cluster and the contextual data associated with that cluster to a user interface. The device provides the device type label and the traffic feature vectors associated with the selected cluster for training a machine learning-based device type classifier.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.