Anomaly and causation detection in computing environments using counterfactual processing
US10986110B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Apr 26, 2017 |
| Grant date | Apr 20, 2021 |
| Priority date | — |
| Expiry date | Nov 8, 2038 |
Classification
- Technology area (CPC H)Electricity
- CPC primaryH04L2463/121
- WIPO fieldDigital communication
- WIPO sectorElectrical engineering
Abstract
Anomaly and causation detection in computing environments are disclosed. An example method includes receiving an input stream of data instances for a time series, each of the data instances being time stamped and including at least one principle value and a set of categorical attributes; generating anomaly scores for each of the data instances over continuous time intervals; detecting a change in the anomaly scores over the continuous time intervals for the data instances; and identifying which of the set of categorical attributes of the data instances caused the change in the anomaly scores using a counterfactual analysis. The counterfactual analysis may comprise removing a portion of the data instances; regenerating the anomaly scores for each of the remaining data instances over the continuous time intervals; and if the anomaly scores are improved, identifying the portion as a cause of anomalous activity. Recommendations to remediate the cause may be generated.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.