https://github.com/joaopinto15/winapi_ml_model
This repository provides a complete infrastructure for the detection of malicious behavior in Windows environments through the monitoring and classification of WinAPI call sequences using supervised machine learning techniques. The goal is to identify patterns of execution typically associated with malware based on dynamic behavioral traces.
https://github.com/joaopinto15/winapi_ml_model
ensamble-methods machine-learning python random-forest winapi
Last synced: 8 months ago
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This repository provides a complete infrastructure for the detection of malicious behavior in Windows environments through the monitoring and classification of WinAPI call sequences using supervised machine learning techniques. The goal is to identify patterns of execution typically associated with malware based on dynamic behavioral traces.
- Host: GitHub
- URL: https://github.com/joaopinto15/winapi_ml_model
- Owner: joaopinto15
- License: mit
- Created: 2025-05-12T16:40:51.000Z (8 months ago)
- Default Branch: main
- Last Pushed: 2025-05-12T16:56:05.000Z (8 months ago)
- Last Synced: 2025-05-12T17:57:12.200Z (8 months ago)
- Topics: ensamble-methods, machine-learning, python, random-forest, winapi
- Homepage:
- Size: 5.86 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0