Anomaly detection in managed networks
US12432242B1 · kind B1 · utility
Assignee
Inventors
Key dates
| Filing date | Mar 28, 2025 |
| Grant date | Sep 30, 2025 |
| Priority date | — |
| Expiry date | Mar 28, 2045 |
Classification
- Technology area (CPC H)Electricity
- CPC primaryH04L63/1425
- WIPO fieldDigital communication
- WIPO sectorElectrical engineering
Abstract
Embodiments detect anomalous activity in networks. Events may be generated based on an activity observed in a monitored network such that each event includes values associated with the activity. High dimensional event vectors may be generated by embedding based on the events and the values included in each event. Anomalous events may be determined based on detection models trained with a cluster of events associated with the high dimensional event vectors such that each anomalous event may correspond to a high dimensional event vector compared to conditions declared in the detection models and such that each anomalous event may be associated with a priority score or a confidence score. A user interface that displays a report that includes the anomalous events may be generated and arranged based on the priority score, the confidence score, a user selected preference, feedback metrics associated with the user interface, or the like.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.