Creating and Extracting Training Data from Storage Systems to Train Machine Learning Models for Ransomware Detection

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CREATING AND EXTRACTING TRAINING DATA FROM STORAGE SYSTEMS TO TRAIN MACHINE LEARNING MODELS FOR RANSOMWARE DETECTION

Application US20260099597A1 Kind: A1 Apr 09, 2026

Inventors

Dionysios Diamantopoulos, Roman Alexander Pletka, Slavisa Sarafijanovic, Nicolás Hernán Reátegui Rodríguez, Charalampos Pozidis, Yves Alexandre Beraldo dos Santos, Andrew D. Walls

Abstract

A first snapshot of a first volume is created and a hidden volume is instantiated using the first snapshot. Ransomware traces are generated using the hidden volume and benign traces using the first volume. An advanced features table is generated based on the ransomware traces and the benign traces, where the advanced features table provides a summary of features extracted from the ransomware traces and the benign traces. Training data is generated based on the advanced features table and a machine learning model is trained using the training data.

CPC Classifications

G06F 21/56 G06N 20/00 G06F 2221/034

Filing Date

2024-10-04

Application No.

18907467

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