Title :
Finger-drawn pin authentication on touch devices
Author :
Toan Van Nguyen ; Sae-Bae, Napa ; Memon, Nasir
Author_Institution :
Polytech. Sch. of Eng., New York Univ., New York, NY, USA
Abstract :
PIN authentication is widely used thanks to its simplicity and usability, but it is known to be susceptible to shoulder surfing. In this paper, we propose a novel online finger-drawn PIN authentication technique that lets a user draw a PIN on a touch interface with her finger. The system provides some resilience to shoulder surfing without increasing authentication delay and complexity by using both the PIN as well as a behavioral biometric in user verification. Our approach adopts the Dynamic Time Warping (DTW) algorithm to compute dissimilarity scores between PIN samples. We evaluate our system in two shoulder surfing scenarios: 1) PIN attack where the attacker only knows the victim´s PIN but has no information about it´s drawing characteristic and 2) Imitation attack where an attacker has access to a dynamic drawing sequence of a victim´s finger-drawn PIN in the form of multiple observations. Experimental results with a data set of 40 users and 2400 imitating samples from two attacks yield an Equal Error Rate (EER) of 6.7% and 9.9% respectively, indicating the need for further study on this promising authentication mechanism.
Keywords :
authorisation; touch sensitive screens; DTW algorithm; EER; behavioral biometric; dissimilarity score; dynamic time warping algorithm; equal error rate; finger-drawn PIN authentication technique; imitation attack; personal identification number; shoulder surfing; touch devices; touch interface; user verification; Authentication; Handwriting recognition; Heuristic algorithms; Performance evaluation; Pins; Training; Finger-drawn PIN; behavioral biometric; mobile authentication; online signature; shoulder surfing;
Conference_Titel :
Image Processing (ICIP), 2014 IEEE International Conference on
Conference_Location :
Paris
DOI :
10.1109/ICIP.2014.7026013