Please use this identifier to cite or link to this item:
http://hdl.handle.net/10071/23333
Author(s): | Neves, P. Nunes, L. Lourenço, A. |
Editor: | Fairclough, S., Holzinger, A., Otero, A., Pope, A., and Silva, H. P. da. |
Date: | 1-Jan-2016 |
Title: | Multi-factor authentication for improved efficiency in ECG: Based login |
Pages: | 67 - 74 |
Event title: | 3rd International Conference on Physiological Computing Systems, PhyCS 2016 |
ISSN: | 2184-321X |
ISBN: | 978-989-758-197-7 |
DOI (Digital Object Identifier): | 10.5220/0005936500670074 |
Keywords: | Biometrics Authentication Bluetooth Internet of things |
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 |
Peerreviewed: | yes |
Access type: | Open Access |
Appears in Collections: | IT-CRI - Comunicações a conferências internacionais |
Files in This Item:
File | Description | Size | Format | |
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conferenceobject_76366.pdf | Versão Aceite | 495,15 kB | Adobe PDF | View/Open |
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