System and method for automated machine-learning, zero-day malware detection
US11126720B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | May 26, 2017 |
| Grant date | Sep 21, 2021 |
| Priority date | — |
| Expiry date | May 26, 2037 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06F2221/034
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Improved systems and methods for automated machine-learning, zero-day malware detection. Embodiments include a system and method for detecting malware using multi-stage file-typing and, optionally pre-processing, with fall-through options. The system and method receive a set of training files which are each known to be either malign or benign, partition the set of training files into a plurality of categories based on file-type, in which the partitioning file-types a subset of the training files into supported file-type categories, train file-type specific classifiers that distinguish between malign and benign files for the supported file-type categories of files, associate supported file-types with a file-type processing chain that includes a plurality of file-type specific classifiers corresponding to the supported file-types, train a generic file-type classifier that applies to file-types that are not supported file-types, and construct a composite classifier using the file-type specific classifiers and the generic file-type classifier.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.