System and method for memory-less anomaly detection using anomaly levels
US12299122B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Oct 7, 2022 |
| Grant date | May 13, 2025 |
| Priority date | — |
| Expiry date | Apr 27, 2043 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06F2221/034
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Methods and systems for anomaly detection in a distributed environment are disclosed. To manage anomaly detection, a system may include an anomaly detector and one or more data collectors. The anomaly detector may detect anomalies in data and classify the anomalies based on magnitudes of anomalies using an inference model. Different magnitudes of anomalies may be keyed to different action sets in response to the presence of anomalies in data. To perform anomaly detection, the inference model may require re-training. Data collected from the one or more data collectors may be used to re-train the inference model as needed. Following anomaly detection and/or inference model re-training, the data may be discarded to remove the data from the anomaly detector.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.