Methods, systems, and computer readable media for utilizing machine learning to automatically configure filters at a network packet broker
US11949570B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Jul 30, 2021 |
| Grant date | Apr 2, 2024 |
| Priority date | — |
| Expiry date | Jan 7, 2042 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N5/01
- WIPO fieldDigital communication
- WIPO sectorElectrical engineering
Abstract
A method for network flow metadata processing at a network packet broker is described herein. The method includes, receiving, as input at a network packet broker, network traffic flow data, aggregating the network traffic flow data over a predefined time period to generate Internet protocol (IP) flow feature vectors containing metadata parameters associated with one or more particular endpoint devices, and providing the IP flow feature vectors to a machine learning element in the network packet broker. The method further includes identifying, by the machine learning element, anomalies existing in the metadata parameters included in the IP flow feature vectors, and automatically configuring one or more filter elements in the network packet broker in response to detecting the identified anomalies of the IP flow feature vectors.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.