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