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Multi-factor authentication for improved efficiency in ECG - based login

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dc.contributor.authorNeves, Pedro
dc.contributor.authorNunes, Luís
dc.contributor.authorLourenço, André
dc.date.accessioned2019-03-07T11:20:55Z
dc.date.available2019-03-07T11:20:55Z
dc.date.issued2016
dc.description.abstractElectrocardiogram (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.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationNEVES, 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. 67-74pt_PT
dc.identifier.doi10.5220/0005936500670074pt_PT
dc.identifier.isbn978-989-758-197-7
dc.identifier.urihttp://hdl.handle.net/10400.21/9664
dc.language.isoengpt_PT
dc.publisherSciTePresspt_PT
dc.subjectBiometricspt_PT
dc.subjectAuthenticationpt_PT
dc.subjectBluetoothpt_PT
dc.subjectInternet of thingspt_PT
dc.subjectBiometriapt_PT
dc.subjectAutenticaçãopt_PT
dc.titleMulti-factor authentication for improved efficiency in ECG - based loginpt_PT
dc.typeconference object
dspace.entity.typePublication
oaire.citation.conferencePlaceJul 27-28, 2016 - Lisbon, Portugalpt_PT
oaire.citation.endPage74pt_PT
oaire.citation.startPage67pt_PT
oaire.citation.title3rd International Conference on Physiological Computing Systems (PhyCS)pt_PT
person.familyNameMiguel Martins Nunes
person.familyNameLourenço
person.givenNameLuís
person.givenNameAndré
person.identifierKjZhyR0AAAAJ
person.identifier.ciencia-id801B-7E84-052F
person.identifier.orcid0000-0001-7072-0925
person.identifier.orcid0000-0001-8935-9578
person.identifier.scopus-author-id49864208100
rcaap.rightsclosedAccesspt_PT
rcaap.typeconferenceObjectpt_PT
relation.isAuthorOfPublication648a63bb-1954-4472-bed9-f06f08f0ba41
relation.isAuthorOfPublicationcbc6b0dc-187b-4f88-a8b3-52b4721df057
relation.isAuthorOfPublication.latestForDiscoverycbc6b0dc-187b-4f88-a8b3-52b4721df057

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