Systems and methods to detect abnormal behavior in networks
US11792217B2 · kind B2 · utility
3Cited by
7References
20Claims
0Family size
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Key dates
| Filing date | Mar 14, 2022 |
| Grant date | Oct 17, 2023 |
| Priority date | — |
| Expiry date | Mar 25, 2042 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N5/04
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Systems and methods include receiving a machine learning model that is configured to detect anomalies in network devices operating in a multi-layer network, wherein the machine learning model is trained via unsupervised learning that includes training the machine learning model with unlabeled data that describes an operational status of the network devices over time; receiving live data related to a current operational status of the network devices; analyzing the live data with the machine learning model; and detecting an anomaly related to any of the network device based on the analyzing.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.