Cyberattack detection using probabilistic graphical models
US12010127B1 · kind B1 · utility
1Cited by
3References
20Claims
0Family size
Inventors
Key dates
| Filing date | Nov 2, 2022 |
| Grant date | Jun 11, 2024 |
| Priority date | — |
| Expiry date | Nov 2, 2042 |
Classification
- Technology area (CPC H)Electricity
- CPC primaryH04W12/06
- WIPO fieldDigital communication
- WIPO sectorElectrical engineering
Abstract
Various embodiments include systems and methods to implement a security platform providing cyberattack detection. The security platform may, with respect to a cloud compute environment, use audit log data that is associated with a particular domain of operational activity within the cloud compute environment. Based on multiple baseline profiles associated with the operational activity, the security platform may use a probabilistic graph to determine a behavioral anomaly. The security platform may, based on the behavioral anomaly, identify a cyberattack.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.