A continuous smartphone authentication method based on gait patterns and keystroke dynamics-Reference-Cited by-同舟云学术

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A continuous smartphone authentication method based on gait patterns and keystroke dynamics

Published:2018-11-09 Issue:11 Volume:10 Page:4417-4430
ISSN:1868-5137
Container-title:Journal of Ambient Intelligence and Humanized Computing
language:en
Short-container-title:J Ambient Intell Human Comput

Author:

Lamiche Imane,Bin Guo,Jing Yao,Yu Zhiwen,Hadid Abdenour

Funder

National Key R&D Program of China

National Natural Science Foundation of China

Publisher

Springer Science and Business Media LLC

Subject

General Computer Science

Link

http://link.springer.com/content/pdf/10.1007/s12652-018-1123-6.pdf

Reference54 articles.

1. Akhtar Z, Buriro A, Crispo B, Falk TH (2017) Multimodal smartphone user authentication using touchstroke, phone-movement and face patterns. In: Signal and information processing (GlobalSIP), 2017 IEEE Global Conference. IEEE, pp 1368–1372. https://doi.org/10.1109/GlobalSIP.2017.8309185

2. Almohammad MS, Salama GI, Mahmoud TA (2012) Human identification system based on feature level fusion using face and gait biometrics. In: Engineering and technology (ICET), 2012 international conference. IEEE, pp 1–5. https://doi.org/10.1109/ICEngTechnol.201.6396120

3. Alsultan A, Warwick K, Wei H (2016) Free-text keystroke dynamics authentication for Arabic language. IET Biometr 5:164–169. https://doi.org/10.1049/iet-bmt.2015.0101

4. Alzubaidi A, Kalita J (2016) Authentication of smartphone users using behavioral biometrics. IEEE Commun Surv Tutor 18:1998–2026. https://doi.org/10.1109/COMST.2016.2537748

5. Antal M, Szabó LZ (2015) An evaluation of one-class and two-class classification algorithms for keystroke dynamics authentication on mobile devices. In: Control systems and computer science (CSCS), 2015 20th international conference. IEEE, pp 343–350. https://doi.org/10.1109/CSCS.2015.16

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