Organization segmentation for anomaly detection
US11914461B1 · kind B1 · utility
Assignee
Inventors
Key dates
| Filing date | Sep 13, 2022 |
| Grant date | Feb 27, 2024 |
| Priority date | — |
| Expiry date | Sep 13, 2042 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06F11/3447
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A method of detecting and handling anomalies in a network, including, collecting meta-data related to an environment of each organization using the network; wherein each organization deploys one or more computers connected to the network, extracting features from the meta-data, clustering organizations having common features into segments, collecting training data from all organizations, grouping the training data according to the segments, training a model for each segment with event data to detect and handle anomalies, analyzing event data of a segment with a respective model for that segment, providing a decision score responsive to the analyzing; and handling the anomaly based on the decision score.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.