Keystroke Dynamics Authentication Using a Small Number of Samples
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Technická Univerzita v Liberci
Technical university of Liberec, Czech Republic
Technical university of Liberec, Czech Republic
Abstract
The verification of a person’s identity is very important in today’s information
society, especially in e-commerce systems and directly affects user account management and
administration. Although present e-commerce systems use many modern sophisticated methods of
authentication, large numbers of e-commerce systems use passwords for this purpose incessantly.
However, passwords are not considered be too secure because users usually do not adhere to
security policies for creating and managing theirs passwords. This problem can be solved by
security policies that require the user to change the password frequently, select a completely new
password, and structure the password, which places additional demands on the user. The solution
is a two-factor authentication where a user needs to know the right password and at the same
time, he must write this password in the correct way. Indeed, many different methods for keystroke
dynamics authentication exist nowadays, but unfortunately, many of them need a large number
of samples to create a stable template and therefore it is impossible use them in systems whose
security policy requires frequent password change. The authors suggest a completely new method
for these purposes that is enough stable even with a small number of measurements to create a
template. This proposed method of keystroke dynamics authentication is validated and results are
compared with existing methods both over the own dataset and the existing reference datasets.
The authors believe that the proposed method will simplify the management and administration of
user accounts as well as their security.
Description
Subject(s)
account management, account administration, authentication, biometric, keystroke dynamics, password
Citation
ISSN
1212-3609