Touch-dynamics based Behavioural Biometrics on Mobile Devices - A Review from a Usability and Performance Perspective

被引:24
作者
Ellavarason, Elakkiya [1 ]
Guest, Richard [1 ]
Deravi, Farzin [1 ]
Sanchez-Riello, Raul [2 ]
Corsetti, Barbara [2 ]
机构
[1] Univ Kent, Sch Engn & Digital Arts, Canterbury CT2 7NT, Kent, England
[2] Carlos III Univ Madrid, Elect Technol Dept, Univ Grp Identificat Technol GUTI, Avda Univ, Leganes 28911, Spain
关键词
Behavioural biometrics; mobile biometrics; usability; touch dynamics; keystroke dynamics; performance; dynamic signature; swipe; USER AUTHENTICATION; SIGNATURE VERIFICATION; ACTIVE AUTHENTICATION; KEYSTROKE DYNAMICS; RECOGNITION; COMBINATION; FEATURES; SYSTEMS; SCREEN; ONLINE;
D O I
10.1145/3394713
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
Over the past few years, there has been an exponential increase in the percentage of people owning and using a smart phone. These devices have sensor-rich touchscreens that can capture sensitive biometric features such as keystroke typing and finger-swiping patterns. Touch-dynamics based behavioural biometrics is a time-based assessment of how a user performs a particular touch task on a mobile device. Several performance-focused surveys already exist. In this article, building upon the existing reviews, we have examined studies on touch-dynamics based behavioural biometrics based on usability and its impact on authentication performance. We also emphasize the need for shifting the focus on usability during performance evaluations by presenting a consolidated list of usability and ergonomic-based factors that influence user interaction and cause performance variations. In this article, we report and review the usability evaluations: user acceptance studies and performance-based studies influencing the user interaction process on three specific touch-dynamics based modalities-signature, keystroke, and swipe. With regards to performance, we present a comparative analysis of error rates and accuracy of various research works undertaken. Additionally, we present a consolidated list of public datasets and discuss evolving vulnerabilities of touch-dynamics based behavioural biometrics, their adopted attack models, and their feasibility. Finally, we present our assessment of this domain's existing unresolved problems that could pave the way for future research.
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页数:36
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