Adaptive anomaly detection for computer systems
US11122065B2 · kind B2 · utility
0Cited by
5References
12Claims
0Family size
Assignee
Inventors
Key dates
| Filing date | Aug 14, 2018 |
| Grant date | Sep 14, 2021 |
| Priority date | — |
| Expiry date | Aug 25, 2039 |
Classification
- Technology area (CPC H)Electricity
- CPC primaryH04L63/1416
- WIPO fieldDigital communication
- WIPO sectorElectrical engineering
Abstract
Feature vectors are abstracted from data describing application processes. The feature vectors are grouped to define non-anomalous clusters of feature vectors corresponding to normal application behavior. Subsequent feature vectors are considered anomalous if they do not fall within one of the non-anomalous clusters; alerts are issued for anomalous feature vectors. In addition, the subsequent feature vectors may be used to regroup feature vectors to adapt to changes in what constitutes normal application behavior.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.