This article explores keystroke dynamics in behavioral biometrics for user ID via machine learning. It focuses on key-press and release patterns for real-world
The keystroke dynamics that are used in this article’s machine learning models for user recognition are behavioral biometrics. Keystroke dynamics uses the distinctive way that each person types to confirm their identity. This is accomplished by analyzing the 2 keystroke events on Key-Press and Key-Release — that make up a keystroke on computer keyboards to extract typing patterns. The article will examine how these ML Models can be used in real-life situations to predict an user.
, we will have trigger the flask app, simulating a real life scenario. request from which we extract the body details """ # Parses the details from the
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