The DOI matches its Crossref record; 13 of the 13 references it cites were found in a registry or an index.
Continuous mobile authentication using touchscreen gestures
Abstract
Securing the sensitive data stored and accessed from mobile devices makes user authentication a problem of paramount importance. The tension between security and usability renders however the task of user authentication on mobile devices a challenging task. This paper introduces FAST (Fingergestures Authentication System using Touchscreen), a novel touchscreen based authentication approach on mobile devices. Besides extracting touch data from touchscreen equipped smartphones, FAST complements and validates this data using a digital sensor glove that we have built using off-the-shelf components. FAST leverages state-of-the-art classification algorithms to provide transparent and continuous mobile system protection. A notable feature is FAST 's continuous, user transparent post-login authentication. We use touch data collected from 40 users to show that FAST achieves a False Accept Rate (FAR) of 4.66% and False Reject Rate of 0.13% for the continuous post-login user authentication. The low FAR and FRR values indicate that FAST provides excellent post-login access security, without disturbing the honest mobile users.
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Cites
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Object Class Segmentation using Random Forests
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Cited by
Habibzadeh, H., Nussbaum, B. H., Anjomshoa, F., Kantarci, B., & Soyata, T. (2019) · Sustainable Cities and Society · doi:10.1016/j.scs.2019.101660 · Cited by 303
Surveying the Development of Biometric User Authentication on Mobile Phones
Meng, W., Wong, D. S., Furnell, S., & Zhou, J. (2015) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2014.2386915 · Cited by 300
Security, Privacy, and Usability in Continuous Authentication: A Survey
Baig, A. F., & Eskeland, S. (2021) · Sensors · doi:10.3390/s21175967 · Cited by 98
Toward the design of adaptive selection strategies for multi-factor authentication
Dasgupta, D., Roy, A., & Nag, A. (2016) · Computers & Security · doi:10.1016/j.cose.2016.09.004 · Cited by 89
Ferrag, M. A., Maglaras, L., Derhab, A., & Janicke, H. (2020) · Telecommunication Systems · doi:10.1007/s11235-019-00612-5 · Cited by 71
Metadata
- Authors
- Feng, T., Liu, Z., Kwon, K.-A., Shi, W., Carbunar, B., Jiang, Y., & Nguyen, N.
- Venue
- 2012 IEEE Conference on Technologies for Homeland Security (HST)
- Publisher
- IEEE
- Published
- 2012-11
- Pages
- 451-456
- OpenAlex
- W2535614671
- Cited by
- 308
- References
- 13
- FWCI
- 16.93
- Type
- conference paper
- Language
- en
- Open access
- closed
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- Feng, T., Liu, Z., Kwon, K.-A., Shi, W., Carbunar, B., Jiang, Y., & Nguyen, N. (2012). Continuous mobile authentication using touchscreen gestures. 2012 IEEE Conference on Technologies for Homeland Security (HST). https://doi.org/10.1109/ths.2012.6459891
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