Abstract : Keystroke Dynamics enables the authentication or identification of users by analyzing their way of typing, e.g. when browsing the Internet. Most studies in the state of the art focus on increasing Keystroke Dynamics Systems performances. In this paper, we address the problematic of avoiding biometric authentication with keystroke dynamics in order to protect users' privacy against unwanted authentication/identification. Experimental results obtained on significant datasets show the benefits of the proposed approaches.
https://hal.archives-ouvertes.fr/hal-02152100
Contributor : Denis Migdal <>
Submitted on : Tuesday, June 11, 2019 - 10:03:58 AM Last modification on : Saturday, November 30, 2019 - 12:06:38 PM
Denis Migdal, Christophe Rosenberger. Don't listen to my Keystroke Dynamics!. International Summer School on Biometrics and Forensics, May 2019, Alghero, France. ⟨hal-02152100⟩