Portrait of Ms Elakkiya Ellavarason

Ms Elakkiya Ellavarason

Marie Sklodowska-Curie Early Stage Researcher
Research student

About

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

Publications

Conference or workshop item

  • Blanco Gonzalo, R., Corsetti, B., Goicoechea-Telleria, I., Husseis, A., Liu-Jimenez, J., Sanchez-Reillo, R., Eglitis, T., Ellavarason, E., Guest, R., Lunerti, C., Azimi, M., Khiarak, J., Ezennaya-Gomez, S., Whiskerd, N., Kuzu, R. and Okoh, E. (2018). Attacking a smartphone biometric fingerprint system:a novice’s approach. In: IEEE ICCST 2018, Montreal, Canada. IEEE. Available at: http://dx.doi/10.1109/CCST.2018.8585726.
    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.

Forthcoming

  • Blanco-Gonzalo, R., Miguel-Hurtado, O., Lunerti, C., Guest, R., Corsetti, B., Ellavarason, E. and Sanchez-Reillo, R. (2019). Biometric Systems Interaction Assessment: The State of the Art. IEEE TRANSACTIONS ON HUMAN-MACHINE SYSTEMS [Online]. Available at: https://doi.org/10.1109/THMS.2019.2913672.
    The design and implementation of effective and efficient
    biometric systems presents a series of challenges to information
    technology (IT) designers to ensure robust performance.
    One of the most important factors across biometric systems, aside
    from algorithmic matching ability, is the human interaction influence
    on performance. Changes in biometric system paradigms have
    motivated further testing methods, especially within mobile environments,
    where the interaction with the device has fewer environmental
    constraints, whichmay severely affect system performance.
    Testing methods involve the need for reflecting on the influence of
    user-system interaction on the overall system performance in order
    to provide information for design and testing. This paper reflects
    on the state of the art of biometric systems interaction assessment,
    leading to a comprehensive document of the relevant research and
    standards in this area. Furthermore, the current challenges are discussed
    and thus we provide a roadmap for the future of biometrics
    systems interaction research.
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