Ransomware detection in memory of a data processing unit using machine learning detection models
US12169563B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Jul 13, 2022 |
| Grant date | Dec 17, 2024 |
| Priority date | — |
| Expiry date | Dec 14, 2042 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N5/01
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Apparatuses, systems, and techniques for classifying one or more computer programs executed by a host device as being ransomware using a machine learning (ML) detection system. An integrated circuit is coupled to physical memory of a host device via a host interface. The integrated circuit hosts a hardware-accelerated security service to protect one or more computer programs executed by the host device. The security service obtains a series of snapshots of data stored in the physical memory and extracts a set of features from each snapshot of the series of snapshots, each snapshot representing the data at a point in time. The security service classifies a process of the one or more computer programs as ransomware or non-ransomware using the set of features and outputs an indication of ransomware responsive to the process being classified as ransomware.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.