Method and system for learning representations of network flow traffic
US10880321B2 · kind B2 · utility
2Cited by
6References
20Claims
0Family size
Assignee
Inventors
Key dates
| Filing date | Jan 27, 2018 |
| Grant date | Dec 29, 2020 |
| Priority date | — |
| Expiry date | Sep 27, 2038 |
Classification
- Technology area (CPC H)Electricity
- CPC primaryH04L43/062
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Disclosed is an improved method, system, and computer program product for learning representations or embeddings of network flow traffic. The disclosed invention operates on network flow data which are then used as inputs to a deep-learning architecture that learns to embed the data into a vector space.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.