Paper Info
Title
Augauth : Shoulder-Surfing Resistant Authentication For Augmented Reality
Abstract
As computing system continues to play an increasing role in daily life, user authentication is now an important component. One of the most widely accepted methods for user authentication is through proof of knowledge of a piece of secret information, such as password. However, entering this non-mutable secret for authentication in public space often allows attackers to steal the secret by shoulder surfing or video recording.We observe that it is possible to block attacker's access to user input using augmented reality (AR) display, which is only available to the user. Based on this intuition, we present AugAuth, an authentication scheme in AR using commercial off-the-shelf(COTS) gesture control sensors as an input device. AugAuth can resist against shoulder surfing by presenting user input interface that is only visible to the user and is unique every time. To enable user input with finger movement using the gesture control armband, Myo, we have solved several challenges in electromyogram signal processing, such as annotating the start of signal and finger classification. The experiment results for our input system of a group of volunteers show that our finger classification function has high accuracy and AugAuth is practical for use in real life authentication scenarios.
Year
Venue
Field
2017
2017 IEEE INTERNATIONAL CONFERENCE ON COMMUNICATIONS (ICC)
Authentication,Public space,Computer security,Computer science,Proof of knowledge,Gesture recognition,Computer network,Augmented reality,Human–computer interaction,Password,Shoulder surfing,Input device
DocType
ISSN
Citations 
Conference
1550-3607
0
PageRank 
References 
Authors
0.34
12
6
Name
Order
Citations
PageRank
Ruide Zhang122.74
Ning Zhang2739.60
Changlai Du363.50
Wenjing Lou47822328.18
Yiwei Thomas Hou52825169.32
Yuichi Kawamoto630526.42