Portrait of Ms Elakkiya Ellavarason

Ms Elakkiya Ellavarason

Marie Sklodowska-Curie Early Stage Researcher

About

Elakkiya Ellavarason is a Marie Sklodowska-Curie Early Stage Researcher in the School of Engineering and Digital Arts. 

Publications

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.
    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.
    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.