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Advisor(s)
Abstract(s)
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 reports 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.
Description
Keywords
Biometrics Authentication Bluetooth Internet of things Biometria Autenticação
Citation
NEVES, Pedro; NUNES, Luís; LOURENÇO, André – Multi-factor authentication for improved efficiency in ECG - based login. In PHYSICS: Proceedings of the 3rd International Conference on Physiological Computing Systems (PhyCS). Lisbon, Portugal: SciTePress, 2016. ISBN: 978-989-758-197-7. Pp. 67-74
Publisher
SciTePress