From Clicks to Security: Investigating Continuous Authentication via
Mouse Dynamics
- URL: http://arxiv.org/abs/2403.03828v1
- Date: Wed, 6 Mar 2024 16:18:02 GMT
- Title: From Clicks to Security: Investigating Continuous Authentication via
Mouse Dynamics
- Authors: Rushit Dave, Marcho Handoko, Ali Rashid, Cole Schoenbauer
- Abstract summary: The study extends beyond conventional methodologies by employing a range of machine learning models.
The diverse machine learning models employed in this study demonstrate competent performance in user verification.
This research contributes to the ongoing efforts to enhance computer security and highlights the potential of leveraging user behavior, specifically mouse dynamics, in developing robust authentication systems.
- Score: 0.0
- License: http://creativecommons.org/licenses/by/4.0/
- Abstract: In the realm of computer security, the importance of efficient and reliable
user authentication methods has become increasingly critical. This paper
examines the potential of mouse movement dynamics as a consistent metric for
continuous authentication. By analyzing user mouse movement patterns in two
contrasting gaming scenarios, "Team Fortress" and Poly Bridge we investigate
the distinctive behavioral patterns inherent in high-intensity and
low-intensity UI interactions. The study extends beyond conventional
methodologies by employing a range of machine learning models. These models are
carefully selected to assess their effectiveness in capturing and interpreting
the subtleties of user behavior as reflected in their mouse movements. This
multifaceted approach allows for a more nuanced and comprehensive understanding
of user interaction patterns. Our findings reveal that mouse movement dynamics
can serve as a reliable indicator for continuous user authentication. The
diverse machine learning models employed in this study demonstrate competent
performance in user verification, marking an improvement over previous methods
used in this field. This research contributes to the ongoing efforts to enhance
computer security and highlights the potential of leveraging user behavior,
specifically mouse dynamics, in developing robust authentication systems.
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