Continuous mobile authentication using touchscreen gestures
By Tao Feng, Ziyi Liu, Kyeong-An Kwon, Weidong Larry Shi, Bogdan Carbunar, Jiang Yifei, Nhung Nguyen. IEEE International Conference on Technologies for Homeland Security, 2012
328 citations recorded by the source corpus.
Subfields: Information Systems, Signal Processing
View Paper: https://www.semanticscholar.org/paper/5dac7ef44351f8d183d79366c91314268d22e8a2
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Information Systems
- Vishal M. Patel
- Kenichi Yoneda
- Thaier Hayajneh
- Ramalingam Chellappa
- Yevgeni Koucheryavy
- Deepak Chandra
- Aleksandr Ometov
- Brandon Barbello
In Signal Processing
- Vishal M. Patel
- Ramalingam Chellappa
- Sergey D. Andreev
- Yevgeni Koucheryavy
- Tommi J. Mikkonen
- Deepak Chandra
- Aleksandr Ometov
- Brandon Barbello
Citations in the corpus
- Continuous User Authentication on Mobile Devices: Recent progress and remaining challenges (2016, methodology): “More general multitouch, gesture-based continuous authentication systems have also been proposed in the literature [17], [18].”
- Multi-Factor Authentication: A Survey (2018, methodology): “The two widely utilized techniques are: false accept rate (FAR) [71] and false reject rate (FRR) [72].”
- Smartphone and Smartwatch-Based Biometrics Using Activities of Daily Living (2019, background): “One such study performed authentication using ‘‘soft touchscreen’’ (stouch) gestures such as: flick, spread, pinch, drag, and tap [25].”