Ms Elakkiya Ellavarason

Conference or workshop item

• Ellavarason, E., Guest, R. and Deravi, F. (2018). A Framework for Assessing Factors Influencing User Interaction for Touch-based Biometrics. in: 26th European Signal Processing Conference (Eusipco 2018). USA: IEEE. Available at: http://dx.doi.org/10.23919/EUSIPCO.2018.8553537.
  Abstract View in KAR View full text
  Touch-based behavioural biometrics is an
  emerging technique for passive and transparent user
  authentication on mobile devices. It utilises dynamics mined
  from users’ touch actions to model behaviour. The
  interaction of the user with the mobile device using touch is
  an important aspect to investigate as the interaction errors
  can influence the stability of sample donation and overall
  performance of the implemented biometric authentication
  system. In this paper, we are outlining a data collection
  framework for touch-based behavioural biometric
  modalities (signature, swipe and keystroke dynamics) that
  will enable us to study the influence of environmental
  conditions and body movement on the touch-interaction. In
  order to achieve this, we have designed a multi-modal
  behavioural biometric data capturing application
  “Touchlogger” that logs touch actions exhibited by the user
  on the mobile device. The novelty of our framework lies in
  the collection of users’ touch data under various usage
  scenarios and environmental conditions. We aim to collect
  touch data in two different environments - indoors and
  outdoors, along with different usage scenarios - whilst the
  user is seated at a desk, walking on a treadmill, walking
  outdoors and seated on a bus. The range of collected data
  may include swiping, signatures using finger and stylus,
  alphabetic, numeric keystroke data and writing patterns
  using a stylus.

Forthcoming

• Gonzalo, B. et al. (2018). Attacking a smartphone biometric fingerprint system:a novice’s approach. in: IEEE ICCST 2018, Montreal, Canada. USA: IEEE.
  Abstract View in KAR
  Biometric systems on mobile devices are an
  increasingly ubiquitous method for identity verification. The
  majority of contemporary devices have an embedded fingerprint
  sensor which may be used for a variety of transactions including
  unlock a device or sanction a payment. In this study we explore
  how easy it is to successfully attack a fingerprint system using a
  fake finger manufactured from commonly available materials.
  Importantly our attackers were novices to producing the fingers
  and were also constrained by time. Our study shows the relative
  ease that modern devices can be attacked and the material
  combinations that lead to these attacks.