Ms Elakkiya Ellavarason

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.
  Abstract View in KAR View full text
  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.
  Abstract View in KAR
  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.