Machine learning model for malware dynamic analysis
US11556648B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | May 5, 2020 |
| Grant date | Jan 17, 2023 |
| Priority date | — |
| Expiry date | Nov 21, 2040 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N20/20
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
In some implementations there may be provided a system. The system may include a processor and a memory. The memory may include program code which causes operations when executed by the processor. The operations may include analyzing a series of events contained in received data. The series of events may include events that occur during the execution of a data object. The series of events may be analyzed to at least extract, from the series of events, subsequences of events. A machine learning model may determine a classification for the received data. The machine learning model may classify the received data based at least on whether the subsequences of events are malicious. The classification indicative of whether the received data is malicious may be provided. Related methods and articles of manufacture, including computer program products, are also disclosed.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.