Learning machine based detection of abnormal network performance
US9628362B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Jul 31, 2013 |
| Grant date | Apr 18, 2017 |
| Priority date | — |
| Expiry date | May 22, 2035 |
Classification
- Technology area (CPC Y)Emerging Cross-Sectional Technologies
- CPC primaryY04S40/00
- WIPO fieldDigital communication
- WIPO sectorElectrical engineering
Abstract
In one embodiment, techniques are shown and described relating to learning machine based detection of abnormal network performance. In particular, in one embodiment, a border router receives a set of network properties xi and network performance metrics Mi from a network management server (NMS), and then intercepts xi and Mi transmitted from nodes in a computer network of the border router. As such, the border router may then build a regression function F based on xi and Mi, and can detect one or more anomalies in the intercepted xi and Mi based on the regression function F. In another embodiment, the NMS, which instructed the border router, receives the detected anomalies from the border router.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.