Multi-factor Authentication for Improved Efficiency in ECG: Based Login

Pedro Neves, Luís Nunes, André Lourenço

Abstract

Electrocardiogram (ECG) based biometrics have proven to be a reliable source of identification. ECG can now be measured off-the-person, requiring nothing more than dry electrodes or conductive fabrics to acquire a usable ECG signal. However, identification still has a relatively poor performance when using large user databases. In this paper we suggest using ECG authentication associated with a smartphone security token in order to improve performance and decrease the time required for the recognition. This paper reposts the implementation of this technique in a user authentication scenario for a Windows login using normal Bluetooth (BT) and Bluetooth Low Energy (BLE). This paper also uses Intel Edison’s mobility features to create a more versatile environment. Results proved our solution to be feasible and present improvements in authentication times when compared to a simple ECG identification.

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Paper Citation


in Harvard Style

Neves P., Nunes L. and Lourenço A. (2016). Multi-factor Authentication for Improved Efficiency in ECG: Based Login . In Proceedings of the 3rd International Conference on Physiological Computing Systems - Volume 1: PhyCS, ISBN 978-989-758-197-7, pages 67-74. DOI: 10.5220/0005936500670074


in Bibtex Style

@conference{phycs16,
author={Pedro Neves and Luís Nunes and André Lourenço},
title={Multi-factor Authentication for Improved Efficiency in ECG: Based Login},
booktitle={Proceedings of the 3rd International Conference on Physiological Computing Systems - Volume 1: PhyCS,},
year={2016},
pages={67-74},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005936500670074},
isbn={978-989-758-197-7},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 3rd International Conference on Physiological Computing Systems - Volume 1: PhyCS,
TI - Multi-factor Authentication for Improved Efficiency in ECG: Based Login
SN - 978-989-758-197-7
AU - Neves P.
AU - Nunes L.
AU - Lourenço A.
PY - 2016
SP - 67
EP - 74
DO - 10.5220/0005936500670074