Enhanced template update: Application to keystroke dynamics

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dc.citation.volume60
dc.contributor.authorPisani, Paulo Henrique
dc.contributor.authorGiot, Romain
dc.contributor.authorde Carvalho, Andre C. P. L. F.
dc.contributor.authorLorena, Ana Carolina [UNIFESP]
dc.coverageOxford
dc.date.accessioned2020-08-14T13:44:29Z
dc.date.available2020-08-14T13:44:29Z
dc.date.issued2016
dc.description.abstractWith the increasing number of activities being performed using computers, there is an ever growing need for advanced authentication mechanisms like biometrics. One efficient and low cost biometric modality is keystroke dynamics, which attempts to recognize users by their typing rhythm. It has been shown that the biometric features may undergo changes over time, which can reduce the predictive performance of the biometric system. Template update adapts the user model to deal with these changes and, therefore, decreases the predictive performance loss. Most of the studies in the literature only take into account samples classified as genuine to perform adaptation. This paper extends this common approach by proposing an original framework to make use of samples classified as impostors, too. This new approach, named Enhanced Template Update, uses all collected unlabeled samples to support the adaptation process. According to our experimental results, this new approach can improve the predictive performance when compared to current methods depending on the scenario. Some improvements on the visualization of results over time are also proposed during the analysis performed in this study. Although the proposed approach is evaluated on keystroke dynamics, it could also be applied to other biometric modalities. (C) 2016 Elsevier Ltd. All rights reserved.en
dc.description.affiliationUniv Sao Paulo, Inst Ciencias Matemat & Comp, Av Trabalhador Sao Carlense 400, Sao Carlos, SP, Brazil
dc.description.affiliationUniv Bordeaux, Lab Bordelais Rech Informat, UMR 5800, F-33405 Talence, France
dc.description.affiliationUniv Fed Sao Paulo, Inst Ciencia & Tecnol, Rua Talim 330, Sao Jose Dos Campos, Brazil
dc.description.affiliationUnifespUniv Fed Sao Paulo, Inst Ciencia & Tecnol, Rua Talim 330, Sao Jose Dos Campos, Brazil
dc.description.sourceWeb of Science
dc.description.sponsorshipLaBRI/Universite de Bordeaux
dc.format.extent134-153
dc.identifierhttp://dx.doi.org/10.1016/j.cose.2016.04.004
dc.identifier.citationComputers & Security. Oxford, v. 60, p. 134-153, 2016.
dc.identifier.doi10.1016/j.cose.2016.04.004
dc.identifier.issn0167-4048
dc.identifier.urihttps://repositorio.unifesp.br/handle/11600/57693
dc.identifier.wosWOS:000378438600009
dc.language.isoeng
dc.publisherElsevier Advanced Technology
dc.relation.ispartofComputers & Security
dc.rightsinfo:eu-repo/semantics/restrictedAccess
dc.subjectTemplate updateen
dc.subjectBiometricsen
dc.subjectKeystroke dynamicsen
dc.subjectAdaptive biometric systemsen
dc.subjectData streamsen
dc.titleEnhanced template update: Application to keystroke dynamicsen
dc.typeinfo:eu-repo/semantics/article
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