Scalable traffic classifier and classifier training system
US9349102B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Sep 14, 2012 |
| Grant date | May 24, 2016 |
| Priority date | — |
| Expiry date | Dec 19, 2034 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N20/10
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A traffic classifier has a plurality of binary classifiers, each associated with one of a plurality of calibrators. Each calibrator trained to translate an output score of the associated binary classifier into an estimated class probability value using a fitted logistic curve, each estimated class probability value indicating a probability that the packet flow on which the output score is based belongs to the traffic class associated with the binary classifier associated with the calibrator. The classifier training system configured to generate a training data based on network information gained using flow and packet sampling methods. In some embodiments, the classifier training system configured to generate reduced training data sets, one for each traffic class, reducing the training data related to traffic not associated with the traffic class.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.