Systems and methods for malware detection using localized machine learning
US11386208B1 · kind B1 · utility
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20Claims
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Key dates
| Filing date | May 16, 2019 |
| Grant date | Jul 12, 2022 |
| Priority date | — |
| Expiry date | Nov 7, 2040 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N20/00
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
The disclosed computer-implemented method for malware detection using localized machine learning may include (i) generating a global score for a file using a global machine learning model, (ii) generating a localized score for the file using a localized machine learning model, (iii) determining that the file is malware using the global score, the localized score, and the local conviction threshold, and (iv) in response to determining that the file is malware, performing a security action to protect the computing device against malware. Various other methods, systems, and computer-readable media are also disclosed.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.