Detecting malware with deep generative models
US11637858B2 · kind B2 · utility
Assignee
Inventor
Key dates
| Filing date | May 29, 2020 |
| Grant date | Apr 25, 2023 |
| Priority date | — |
| Expiry date | Mar 11, 2041 |
Classification
- Technology area (CPC H)Electricity
- CPC primaryH04L63/20
- WIPO fieldDigital communication
- WIPO sectorElectrical engineering
Abstract
Features are extracted from an artifact so that a vector can be populated. The vector is then inputted into an anomaly detection model comprising a deep generative model to generate a first score. The first score can characterize the artifact as being malicious or benign to access, execute, or continue to execute. In addition, the vector is inputted into a machine learning-based classification model to generate a second score. The second score can also characterize the artifact as being malicious or benign to access, execute, or continue to execute. The second score is then modified based on the first score to result in a final score. The final score can then be provided to a consuming application or process. Related apparatus, systems, techniques and articles are also described.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.