Network anomaly detection
US12229677B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Dec 28, 2023 |
| Grant date | Feb 18, 2025 |
| Priority date | — |
| Expiry date | Dec 28, 2043 |
Classification
- Technology area (CPC H)Electricity
- CPC primaryH04W84/042
- WIPO fieldDigital communication
- WIPO sectorElectrical engineering
Abstract
A method for detecting network anomalies includes receiving a control message from a cellular network and extracting one or more features from the control message. The method also includes predicting a potential label for the control message using a predictive model configured to receive the one or more extracted features from the control message as feature inputs. Here, the predictive model is trained on a set of training control messages where each training control message includes one or more corresponding features and an actual label. The method further includes determining that a probability of the potential label satisfies a confidence threshold. The method also includes analyzing the control message to determine whether the control message corresponds to a respective network performance issue. When the control message impacts network performance, the method includes communicating the network performance issue to a network entity responsible for the network performance issue.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.