Home // ICDS 2018, The Twelfth International Conference on Digital Society and eGovernments // View article
Authors:
Abir Mhenni
Estelle Cherrier
Christophe Rosenberger
Najoua Essoukri Ben Amara
Keywords: Passwords; Authentication; Password security; Keystroke dynamics; Adaptive strategy
Abstract:
Password based applications are commonly used in our daily lives such as in social networks, e-mails, e-commerce, and e-banking. Given the increasing number of hacker attacks, only the use of passwords is not enough to protect personal data and does not meet usability requirements. Keystroke dynamics is a promising solution that decreases the vulnerability of passwords to guessing attacks by analyzing the typing manner of the user. Despite its efficiency in the discrimination between users, it remains non-industrialized essentially due to the tedious learning phase and the intra-class variation of the users’ characteristics. In this paper, we propose a double serial mechanism to adapt the user’s model over time. An important property of the proposed solution relies in its usability as we only use a single sample as user’s reference during the account creation. We demonstrate that the proposed method offers competitive performances while keeping a high usability.
Pages: 73 to 80
Copyright: Copyright (c) IARIA, 2018
Publication date: March 25, 2018
Published in: conference
ISSN: 2308-3956
ISBN: 978-1-61208-615-6
Location: Rome, Italy
Dates: from March 25, 2018 to March 29, 2018