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Performance Analysis of Motion-Sensor Behavior for User Authentication on Smartphones

School of Electronic and Information Engineering, Xi’an Jiaotong University, 710049 Xi’an, China
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Academic Editor: Leonhard M. Reindl
Sensors 2016, 16(3), 345; https://doi.org/10.3390/s16030345
Received: 7 January 2016 / Revised: 24 February 2016 / Accepted: 3 March 2016 / Published: 9 March 2016
(This article belongs to the Section Sensor Networks)
The growing trend of using smartphones as personal computing platforms to access and store private information has stressed the demand for secure and usable authentication mechanisms. This paper investigates the feasibility and applicability of using motion-sensor behavior data for user authentication on smartphones. For each sample of the passcode, sensory data from motion sensors are analyzed to extract descriptive and intensive features for accurate and fine-grained characterization of users’ passcode-input actions. One-class learning methods are applied to the feature space for performing user authentication. Analyses are conducted using data from 48 participants with 129,621 passcode samples across various operational scenarios and different types of smartphones. Extensive experiments are included to examine the efficacy of the proposed approach, which achieves a false-rejection rate of 6.85% and a false-acceptance rate of 5.01%. Additional experiments on usability with respect to passcode length, sensitivity with respect to training sample size, scalability with respect to number of users, and flexibility with respect to screen size were provided to further explore the effectiveness and practicability. The results suggest that sensory data could provide useful authentication information, and this level of performance approaches sufficiency for two-factor authentication on smartphones. Our dataset is publicly available to facilitate future research. View Full-Text
Keywords: smartphone security; user authentication; behavior analysis; motion sensor; performance evaluation smartphone security; user authentication; behavior analysis; motion sensor; performance evaluation
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MDPI and ACS Style

Shen, C.; Yu, T.; Yuan, S.; Li, Y.; Guan, X. Performance Analysis of Motion-Sensor Behavior for User Authentication on Smartphones. Sensors 2016, 16, 345. https://doi.org/10.3390/s16030345

AMA Style

Shen C, Yu T, Yuan S, Li Y, Guan X. Performance Analysis of Motion-Sensor Behavior for User Authentication on Smartphones. Sensors. 2016; 16(3):345. https://doi.org/10.3390/s16030345

Chicago/Turabian Style

Shen, Chao; Yu, Tianwen; Yuan, Sheng; Li, Yunpeng; Guan, Xiaohong. 2016. "Performance Analysis of Motion-Sensor Behavior for User Authentication on Smartphones" Sensors 16, no. 3: 345. https://doi.org/10.3390/s16030345

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