Automated anomaly detection service on heterogeneous log streams
US9928155B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Nov 15, 2016 |
| Grant date | Mar 27, 2018 |
| Priority date | — |
| Expiry date | Nov 15, 2036 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06F11/3636
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Systems and methods are disclosed for handling log data from one or more applications, sensors or instruments by receiving heterogeneous logs from arbitrary/unknown systems or applications; generating regular expression patterns from the heterogeneous log sources using machine learning and extracting a log pattern therefrom; generating models and profiles from training logs based on different conditions and updating a global model database storing all models generated over time; tokenizing raw log messages from one or more applications, sensors or instruments running a production system; transforming incoming tokenized streams are into data-objects for anomaly detection and forwarding of log messages to various anomaly detectors; and generating an anomaly alert from the one or more applications, sensors or instruments running a production system.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.