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This article delves into the use of keystroke dynamics as a form of behavioral biometrics for user identification. By utilizing machine learning models, the article investigates how each individual's unique typing style — specifically, the patterns of key-press and key-release events — can be employed to verify identity. Learn how these machine learning models can be applied in real-world scenarios for user authentication and prediction.

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