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

authors

  • Ellavarason, Elakkiya
  • Guest, Richard
  • Deravi, Farzin
  • Sanchez Riello, Raul
  • CORSETTI, BARBARA

publication date

  • November 2021

start page

  • 120:1

end page

  • 120:36

issue

  • 6

volume

  • 53

International Standard Serial Number (ISSN)

  • 0360-0300

Electronic International Standard Serial Number (EISSN)

  • 1557-7341

abstract

  • 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.

subjects

  • Computer Science
  • Electronics

keywords

  • behavioural biometrics; dynamic signature; keystroke dynamics; mobile biometrics; performance; swipe; touch dynamics; usability