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Please use this identifier to cite or link to this item: http://repository.iitr.ac.in/handle/123456789/5626
Title: Robustness Analysis of Motion Sensor Guided Air Authentication System
Authors: Behera S.K.
Bhoi S.
Dogra D.P.
Pratim Roy, Partha
Published in: IEEE Transactions on Consumer Electronics
Abstract: Authentication of personal computing device is prone to shoulder-surfing attacks. Gesture-based techniques are often used for such authentication. However, existing techniques fall prey to identity theft. The main reason is the visual trails that are left behind by the patterns or gestures. In this paper, a typical gesture-based authentication technique developed using an industry standard motion sensor, has been tested against shoulder-surfing attacks. We exploit the concept of difference in point-of-views of the user and the attacker to analyze the robustness of a password. In this quest, we have proposed a method to calculate strength of the passwords that can guide the users to carefully select the passwords. In this paper, 840 authentication sessions were video recorded from different angles and positions to analyze the robustness of the passwords. Twenty volunteers were involved to observe these videos to decipher the passwords. Experiment results reveal that when the passwords are chosen carefully, guessing through shoulder surfing can be very difficult with average true negative rate of 94.4%. The method can be used to guide the users for selecting strong passwords for authentication in personal devices. © 1975-2011 IEEE.
Citation: IEEE Transactions on Consumer Electronics (2018), 64(2): 171-179
URI: https://doi.org/10.1109/TCE.2018.2843283
http://repository.iitr.ac.in/handle/123456789/5626
Issue Date: 2018
Publisher: Institute of Electrical and Electronics Engineers Inc.
Keywords: Air authentication
gesture-based authentication
robustness analysis
shoulder surfing
ISSN: 983063
Author Scopus IDs: 37057132600
57190384663
35408975400
56880478500
Author Affiliations: Behera, S.K., School of Electrical Science, Indian Institute of Technology Bhubaneswar, Bhubaneswar, 752050, India
Bhoi, S., School of Electrical Science, Indian Institute of Technology Bhubaneswar, Bhubaneswar, 752050, India
Dogra, D.P., School of Electrical Science, Indian Institute of Technology Bhubaneswar, Bhubaneswar, 752050, India
Roy, P.P., Department of Computer Science, Indian Institute of Technology Roorkee, Roorkee, 247667, India
Corresponding Author: Behera, S.K.; School of Electrical Science, Indian Institute of Technology BhubaneswarIndia; email: sb29@iitbbs.ac.in
Appears in Collections:Journal Publications [CS]

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