Using a machine learning classifier to assign a data retention priority for network forensics and retrospective detection
US10257214B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Jun 23, 2016 |
| Grant date | Apr 9, 2019 |
| Priority date | — |
| Expiry date | Dec 30, 2036 |
Classification
- Technology area (CPC H)Electricity
- CPC primaryH04L63/1458
- WIPO fieldDigital communication
- WIPO sectorElectrical engineering
Abstract
In one embodiment, a device in a network receives traffic data regarding one or more traffic flows in the network. The device applies a machine learning classifier to the traffic data. The device determines a priority for the traffic data based in part on an output of the machine learning classifier. The output of the machine learning classifier comprises a probability of the traffic data belonging to a particular class. The device stores the traffic data for a period of time that is a function of the determined priority for the traffic data.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.