System and method for detecting network services based on network traffic using machine learning
US12040914B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Oct 17, 2022 |
| Grant date | Jul 16, 2024 |
| Priority date | — |
| Expiry date | Oct 17, 2042 |
Classification
- Technology area (CPC H)Electricity
- CPC primaryH04L41/147
- WIPO fieldDigital communication
- WIPO sectorElectrical engineering
Abstract
A method includes obtaining input features based on network traffic received during a time window. The method also includes generating multiple network service type predictions about the network traffic during the time window using a machine learning (ML) classification system operating on the input features. The method also includes storing the multiple network service type predictions in different time steps in a first-in first-out (FIFO) buffer and generating decisions about a presence of each of multiple service types in the network traffic using a voting algorithm. The method also includes reducing fluctuations in the generated decisions using a logic-based stabilizer module to generate a final network service type decision.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.