Method and apparatus for whole-network anomaly diagnosis and method to detect and classify network anomalies using traffic feature distributions
US8869276B2 · kind B2 · utility
8Cited by
2References
14Claims
0Family size
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Key dates
| Filing date | Jun 29, 2006 |
| Grant date | Oct 21, 2014 |
| Priority date | — |
| Expiry date | Dec 11, 2030 |
Classification
- Technology area (CPC H)Electricity
- CPC primaryH04L41/046
- WIPO fieldDigital communication
- WIPO sectorElectrical engineering
Abstract
To improve network reliability and management in today's high-speed communication networks, we propose an intelligent system using adaptive statistical approaches. The system learns the normal behavior of the network. Deviations from the norm are detected and the information is combined in the probabilistic framework of a Bayesian network. The proposed system is thereby able to detect unknown or unseen faults. As demonstrated on real network data, this method can detect abnormal behavior before a fault actually occurs, giving the network management system (human or automated) the ability to avoid a potentially serious problem.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.