Title :
Review of continuous touch based user authentication
Author :
Shamily Shaji;Smija Das;Jubilant J Kizhakkethottam
Author_Institution :
Dept. of Computer Science and Engineering, St. Joseph´s College of Engineering and Technology, Palai, Kerala, India
Abstract :
Conventional computer systems or mobile devices authenticate users only at the initial login session, which can be a serious critical security flaw. To resolve the problem, the systems need continuous and transparent user authentication methods that continuously monitor and authenticate users based on some biometric traits. A new method for continuous user authentication is based on the way they interact with the touch screen of a smartphone. This method authenticates smartphone users by continuously monitoring their finger movements on the touch screen. Based on a set of 30 behavioral features, the authors built proof-of-concept classifiers that can pinpoint a target user among 41 users with very low equal error rate. Given the non-trivial error rates, this kind of touch-based analysis is qualified as a complementary authentication mechanism.
Keywords :
"Authentication","Mice","Error analysis","Feature extraction","Mobile handsets","Face recognition"
Conference_Titel :
Soft-Computing and Networks Security (ICSNS), 2015 International Conference on
Print_ISBN :
978-1-4799-1752-5
DOI :
10.1109/ICSNS.2015.7292380