Authors:
Denis Migdal
and
Christophe Rosenberger
Affiliation:
Normandie Univ., UNICAEN, ENSICAEN, CNRS, GREYC, 14000 Caen and France
Keyword(s):
Keystroke Dynamics Anonymization System, Keystroke Dynamics, Anonymization, WebExtension, JavaScript, Browser, Browser Fingerprinting.
Related
Ontology
Subjects/Areas/Topics:
Biometrics Security and Privacy
;
Data and Application Security and Privacy
;
Human Factors and Human Behaviour Recognition Techniques
;
Information and Systems Security
;
Information Assurance
;
Privacy
;
Privacy Enhancing Technologies
;
Security and Privacy in Web Services
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 issue of avoiding the biometric capture of keystroke dynamics in order to protect users’ privacy. Authentication/identification, profiling can be considered as attacks we limit in this contribution. Experimental results obtained on significant datasets show the benefits of the proposed approaches.