System and method for machine learning-based detection of ransomware attacks on a storage system
US12373560B2 · kind B2 · utility
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18Claims
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Key dates
| Filing date | Nov 28, 2022 |
| Grant date | Jul 29, 2025 |
| Priority date | — |
| Expiry date | Aug 19, 2043 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06F21/554
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A method, computer program product, and computing system for processing a plurality of input/output (IO) requests associated with a plurality of storage objects of a storage system. A plurality of IO features are generated using the plurality of IO requests. The plurality of IO features are processed using a machine learning model. A ransomware attack on the storage system may be monitored for in real-time based upon, at least in part, the processing of the plurality of IO features using the machine learning model.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.