Keystroke Dynamics Anonymization System

Denis Migdal, Christophe Rosenberger

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.

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Paper Citation


in Harvard Style

Migdal D. and Rosenberger C. (2019). Keystroke Dynamics Anonymization System.In Proceedings of the 16th International Joint Conference on e-Business and Telecommunications - Volume 2: SECRYPT, ISBN 978-989-758-378-0, pages 448-455. DOI: 10.5220/0007923804480455


in Bibtex Style

@conference{secrypt19,
author={Denis Migdal and Christophe Rosenberger},
title={Keystroke Dynamics Anonymization System},
booktitle={Proceedings of the 16th International Joint Conference on e-Business and Telecommunications - Volume 2: SECRYPT,},
year={2019},
pages={448-455},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0007923804480455},
isbn={978-989-758-378-0},
}


in EndNote Style

TY - CONF

JO - Proceedings of the 16th International Joint Conference on e-Business and Telecommunications - Volume 2: SECRYPT,
TI - Keystroke Dynamics Anonymization System
SN - 978-989-758-378-0
AU - Migdal D.
AU - Rosenberger C.
PY - 2019
SP - 448
EP - 455
DO - 10.5220/0007923804480455