Systems and methods for anomaly detection
US10917419B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | May 5, 2017 |
| Grant date | Feb 9, 2021 |
| Priority date | — |
| Expiry date | Oct 17, 2038 |
Classification
- Technology area (CPC H)Electricity
- CPC primaryH04L63/1433
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
An anomaly detection module may include a time-series analyzer that classifies current time-series data into at least one of a plurality of classifications based upon historical data and may construct a statistical model representative of the current time-series data based upon the at least one of the plurality of classifications. An anomaly detector monitors a stream of the current time-series data and identifies statistical outliers of the stream of the current time-series data, based upon the statistical model and may determine an anomalous score for the statistical outliers by tracking a history of the statistical outliers; wherein the anomalous score comprises a representation of a magnitude of deviation between the current time-series data and the statistical model over multiple measurements of the current time-series data, over a particular time interval, or both.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.