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Don't listen to my Keystroke Dynamics!

Authors :
Migdal, Denis
Rosenberger, Christophe
Equipe SAFE - Laboratoire GREYC - UMR6072
Groupe de Recherche en Informatique, Image et Instrumentation de Caen (GREYC)
Centre National de la Recherche Scientifique (CNRS)-École Nationale Supérieure d'Ingénieurs de Caen (ENSICAEN)
Normandie Université (NU)-Normandie Université (NU)-Université de Caen Normandie (UNICAEN)
Normandie Université (NU)-Centre National de la Recherche Scientifique (CNRS)-École Nationale Supérieure d'Ingénieurs de Caen (ENSICAEN)
Normandie Université (NU)
Migdal, Denis
Source :
International Summer School on Biometrics and Forensics, International Summer School on Biometrics and Forensics, May 2019, Alghero, France
Publication Year :
2019
Publisher :
HAL CCSD, 2019.

Abstract

16th Int.l Summer School on Biometrics and Forensics 2019; International audience; 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.

Details

Language :
English
Database :
OpenAIRE
Journal :
International Summer School on Biometrics and Forensics, International Summer School on Biometrics and Forensics, May 2019, Alghero, France
Accession number :
edsair.dedup.wf.001..0cb2ee1598246b55cb143d27c46da80c