Applying condensed machine learned models within a local network
US11303657B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Mar 1, 2018 |
| Grant date | Apr 12, 2022 |
| Priority date | — |
| Expiry date | Apr 28, 2038 |
Classification
- Technology area (CPC H)Electricity
- CPC primaryH04L43/062
- WIPO fieldDigital communication
- WIPO sectorElectrical engineering
Abstract
The behavior analysis engine can condense stored machine-learned models and transmit the condensed versions of the machine-learned models to the network traffic hub to be applied in the local networks. When the behavior analysis engine receives new data that can be used to further train a machine-learned model, the behavior analysis engine updates the machine-learned model and generates a condensed-version of the machine-learned model. The condensed-version of the machine-learned model may be more resource efficient than the machine-learned model while capable of making similar or the same decisions as the machine-learned model. The behavior analysis engine transmits the condensed version of the machine-learned model to the network traffic hub and the network traffic hub uses the condensed-version of the machine-learned model to identify malicious behavior in the local network.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.