Artificial Intelligence

   

Keystroke Analysis for User Authentication

Authors: Khushi Kher

This report offers an examination ofkeystroke analysis as a method for authenticating users, employing machine learning techniques.The report encompasses a comprehensive exploration of the theoretical underpinnings, and con-temporary research in keystroke dynamics. Furthermore, it provides insights into the practicalimplementation of keystroke analysis for user authentication, elucidating the operational aspectsand technical intricacies involved. Additionally, the report critically evaluates the limitations en-countered within this authentication method, providing a detailed analysis of the challenges faced. The report concludes by outlining the potential of keystroke analysis in enhancing security measures and augmenting user experience. Overall, this report aims to contribute to thediscourse on keystroke dynamics, shedding light on both its advancements and limitations whileenvisioning its future prospects in the realm of user authentication.

Comments: 7 Pages.

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Submission history

[v1] 2025-11-06 02:24:37

Unique-IP document downloads: 187 times

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