Network-based approach for training supervised learning classifiers
US10187413B2 · kind B2 · utility
26Cited by
4References
20Claims
0Family size
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Key dates
| Filing date | Jul 18, 2016 |
| Grant date | Jan 22, 2019 |
| Priority date | — |
| Expiry date | Feb 15, 2037 |
Classification
- Technology area (CPC H)Electricity
- CPC primaryH04L63/1458
- WIPO fieldDigital communication
- WIPO sectorElectrical engineering
Abstract
In one embodiment, a supervisory device in a network receives traffic data from a security device that uses traffic signatures to assess traffic in the network. The supervisory device receives traffic data from one or more distributed learning agents that use machine learning-based anomaly detection to assess traffic in the network. The supervisory device trains a traffic classifier using the received traffic data from the security device and from the one or more distributed learning agents. The supervisory device deploys the traffic classifier to a selected one of the one or more distributed learning agents.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.