BogdanAlinTudorache/KeystrokeDynamics
This repository focuses on the use of keystroke dynamics as a behavioral biometric to build machine learning models for user recognition.
This project helps security professionals and system administrators create user recognition systems based on unique typing patterns. It takes raw keystroke data for various users and trains machine learning models to identify individuals. The output is a set of trained models that can predict who is typing, useful for enhancing authentication or monitoring user activity.
No commits in the last 6 months.
Use this if you need to identify or verify users based on how they type, adding a layer of security beyond traditional passwords.
Not ideal if you're looking for a simple, off-the-shelf user authentication solution that doesn't require model training and deployment.
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Python
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Last pushed
Mar 29, 2023
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