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dc.contributor.authorBuriro,Attaullah
dc.contributor.authorGupta,Sandeep
dc.contributor.authorCrispo,Bruno
dc.contributor.editorBrömme,Arslan
dc.contributor.editorBusch,Christoph
dc.contributor.editorDantcheva,Antitza
dc.contributor.editorRathgeb,Christian
dc.contributor.editorUhl,Andreas
dc.date.accessioned2017-09-26T09:21:00Z
dc.date.available2017-09-26T09:21:00Z
dc.date.issued2017
dc.identifier.isbn978-3-88579-664-0
dc.identifier.issn1617-5468
dc.identifier.urihttp://dl.gi.de/handle/20.500.12116/4652
dc.description.abstractThis paper presents a bimodal scheme, the mechanism which contemplates the way a user enters an 8-digit PIN/password and the phone-movements while doing so, for user authentication in mobile banking/financial applications (apps). The scheme authenticates the user based on the timing differences of the entered strokes. Additionally, it enhances the security by introducing a transparent layer utilizing the phone-movements made by the user. The scheme is assumed to be highly secure as mimicking the invisible touch-timings and the phone-movements could be extremely onerous. Our analysis is based on 2850 samples collected from 95 users through a 3-day unsupervised field experiment and using 3 multi-class classifiers. Random Forest (RF) classifier out-performed other two classifiers and provided a True Acceptance Rate (TAR) of 96%.en
dc.language.isoen
dc.publisherGesellschaft für Informatik, Bonn
dc.relation.ispartofBIOSIG 2017
dc.relation.ispartofseriesLecture Notes in Informatics (LNI) - Proceedings, Volume P-70
dc.subjectSmartphones
dc.subjectBiometric Authentication
dc.subjectHuman-Computer Interaction
dc.titleEvaluation of Motion-based Touch-typing Biometrics in Online Financial Environmentsen
mci.reference.pages219-226
mci.conference.sessiontitleFurther Conference Contributions
mci.conference.locationDarmstadt, Germany
mci.conference.date20.-22. September 2017


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