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Fast and Accurate Continuous User Authentication by Fusion of Instance-based, Free-text Keystroke Dynamics

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dc.contributor.authorAyotte, Blaine
dc.contributor.authorBanavar, Mahesh K.
dc.contributor.authorHou, Daqing
dc.contributor.authorSchuckers, Stephanie
dc.contributor.editorBrömme, Arslan
dc.contributor.editorBusch, Christoph
dc.contributor.editorDantcheva, Antitza
dc.contributor.editorRathgeb, Christian
dc.contributor.editorUhl, Andreas
dc.date.accessioned2020-09-15T13:01:24Z
dc.date.available2020-09-15T13:01:24Z
dc.date.issued2019
dc.description.abstractKeystroke dynamics study the way in which users input text via their keyboards, which is unique to each individual, and can form a component of a behavioral biometric system to improve existing account security. Keystroke dynamics systems on free-text data use n-graphs that measure the timing between consecutive keystrokes to distinguish between users. Many algorithms require 500, 1,000, or more keystrokes to achieve EERs of below 10%. In this paper, we propose an instancebased graph comparison algorithm to reduce the number of keystrokes required to authenticate users. Commonly used features such as monographs and digraphs are investigated. Feature importance is determined and used to construct a fused classifier. Detection error tradeoff (DET) curves are produced with different numbers of keystrokes. The fused classifier outperforms the state-of-the-art with EERs of 7.9%, 5.7%, 3.4%, and 2.7% for test samples of 50, 100, 200, and 500 keystrokes.en
dc.identifier.isbn978-3-88579-690-9
dc.identifier.pissn1617-5468
dc.identifier.urihttps://dl.gi.de/handle/20.500.12116/34223
dc.language.isoen
dc.publisherGesellschaft für Informatik e.V.
dc.relation.ispartofBIOSIG 2019 - Proceedings of the 18th International Conference of the Biometrics Special Interest Group
dc.relation.ispartofseriesLecture Notes in Informatics (LNI) - Proceedings, Volume P-297
dc.subjectKeystroke dynamics
dc.subjectbiometrics
dc.subjectcontinuous authentication
dc.subjectmonograph
dc.subjectdigraph
dc.titleFast and Accurate Continuous User Authentication by Fusion of Instance-based, Free-text Keystroke Dynamicsen
dc.typeText/Conference Paper
gi.citation.endPage139
gi.citation.publisherPlaceBonn
gi.citation.startPage129
gi.conference.date18.-20. September 2019
gi.conference.locationDarmstadt, Germany
gi.conference.sessiontitleRegular Research Papers

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P296 - BIOSIG 2019 - Proceedings of the 18th International Conference of the Biometrics Special Interest Group