System and method of synthesizing potential malware for predicting a cyberattack
US12124574B2 · kind B2 · utility
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13Claims
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Key dates
| Filing date | Dec 27, 2021 |
| Grant date | Oct 22, 2024 |
| Priority date | — |
| Expiry date | Nov 10, 2042 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06V30/19173
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A system and method for malware classification using machine learning models trained using synthesized feature sets based on features extracted from samples of known malicious objects and known safe objects. The synthesized feature sets act as virtual samples for training a machine learning classifier to recognize new objects in the wild that are likely to be malicious.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.