Detection of malicious encryption based on machine learning
US12432229B2 · kind B2 · utility
0Cited by
13References
19Claims
0Family size
Assignee
Inventors
Key dates
| Filing date | Jun 27, 2023 |
| Grant date | Sep 30, 2025 |
| Priority date | — |
| Expiry date | Dec 25, 2043 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N20/00
- WIPO fieldDigital communication
- WIPO sectorElectrical engineering
Abstract
A computer-implemented method, computer program product, and computer system to classify executing processes as malicious based on opcode data. A processor to retrieves live opcode data corresponding to one or more processors executing a process. A processor generates a malicious classification of the process based on output from a machine learning model that is provided the live opcode data. A processor, in response to the machine learning model classifying the process as malicious, restricts the execution of the process on the one or more processors.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.