TY - GEN
T1 - EyeMove - Towards Mobile Authentication using EOG Glasses
AU - Ragozin, Kirill
AU - Marky, Karola
AU - Lu, Jie
AU - Kunze, Kai
N1 - Funding Information:
This work is partly supported by the JST Presto Project Grant Number JPMJPR2132.
Publisher Copyright:
© 2022 ACM.
PY - 2022/3/13
Y1 - 2022/3/13
N2 - Existing approaches for mobile authentication are prone to shoulder-surfing and side-channel attacks. Using gazes for authentication has been demonstrated to be more resistant to these attacks. Yet, existing solutions rely on eye-tracking by the device's front camera that is not always reliable. In this paper, we present an approach for EOG-based authentication by determining the gaze-based on the electronic potential of the eyes. Our approach runs on commercially available smart glasses and there is no need for the user to look at the device. Through a user study with 15 participants, we demonstrate the feasibility of the approach, its usability, and its adoption by mobile device users. Even users without regular glasses would adopt EOG-based authentication.
AB - Existing approaches for mobile authentication are prone to shoulder-surfing and side-channel attacks. Using gazes for authentication has been demonstrated to be more resistant to these attacks. Yet, existing solutions rely on eye-tracking by the device's front camera that is not always reliable. In this paper, we present an approach for EOG-based authentication by determining the gaze-based on the electronic potential of the eyes. Our approach runs on commercially available smart glasses and there is no need for the user to look at the device. Through a user study with 15 participants, we demonstrate the feasibility of the approach, its usability, and its adoption by mobile device users. Even users without regular glasses would adopt EOG-based authentication.
KW - Gaze-Based Authentication
KW - Mobile Authentication
KW - Multimodal Authentication
UR - http://www.scopus.com/inward/record.url?scp=85128969100&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85128969100&partnerID=8YFLogxK
U2 - 10.1145/3519391.3519411
DO - 10.1145/3519391.3519411
M3 - Conference contribution
AN - SCOPUS:85128969100
T3 - ACM International Conference Proceeding Series
SP - 10
EP - 14
BT - Proceedings of Augmented Humans Conference 2022, AHs 2022
PB - Association for Computing Machinery
T2 - 2022 Augmented Humans Conference, AHs 2022
Y2 - 13 March 2022 through 15 March 2022
ER -