Detecting malware attacks using extracted behavioral features
US10530787B2 · kind B2 · utility
6Cited by
4References
20Claims
0Family size
Assignee
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Key dates
| Filing date | Aug 30, 2017 |
| Grant date | Jan 7, 2020 |
| Priority date | — |
| Expiry date | Dec 22, 2037 |
Classification
- Technology area (CPC H)Electricity
- CPC primaryH04L63/1433
- WIPO fieldDigital communication
- WIPO sectorElectrical engineering
Abstract
Detecting malware attacks is described herein. A computer-implemented method may include receiving, via a processor, events from a plurality of activity monitors. The method also include extracting, via the processor, a plurality of behavioral features from the received events. The method may further include detecting, via the processor, a malware attack based on the extracted behavioral features using a malware identification model trained on private data and public data. The method may also include executing, via the processor, an ad hoc protection improvement based on the detected malware attack.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.