Logo des Repositoriums
 

Android Pattern Unlock Authentication - effectiveness of local and global dynamic features

Kurzanzeige
dc.contributor.authorIbrahim, Nasiru
dc.contributor.authorSellahewa, Harin
dc.contributor.editorBrömme, Arslan
dc.contributor.editorBusch, Christoph
dc.contributor.editorDantcheva, Antitza
dc.contributor.editorRathgeb, Christian
dc.contributor.editorUhl, Andreas
dc.date.accessioned2020-09-15T13:01:29Z
dc.date.available2020-09-15T13:01:29Z
dc.date.issued2019
dc.description.abstractThis study conducts a holistic analysis of the performances of biometric features incorporated into Pattern Unlock authentication. The objective is to enhance the strength of the authentication by adding an implicit layer. Earlier studies have incorporated either global or local dynamic features for verification; however, as found in this paper, different features have variable discriminating power, especially at different extraction levels. The discriminating potential of global, local and their combination are evaluated. Results showed that locally extracted features have higher discriminating power than global features and combining both features gives the best verification performance. Further, a novel feature was proposed and evaluated, which was found to have a varied impact (both positive and negative) on the system performance. From our findings, it is essential to evaluate features (independently and collectively), extracted at different levels (global and local) and different combination for some might impede on the verification performance of the system.en
dc.identifier.isbn978-3-88579-690-9
dc.identifier.pissn1617-5468
dc.identifier.urihttps://dl.gi.de/handle/20.500.12116/34235
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.ispartofseriesBrömme, Arslan; Busch, Christoph; Dantcheva, Antitza; Rathgeb, Christian; Uhl, Andreas
dc.subjectBiometrics
dc.subjectAuthentication
dc.subjectBehaviometrics
dc.subjectMobile Security
dc.subjectPattern Recognition
dc.subjectMultifactor authentication
dc.subjectAndroid Pattern Unlock
dc.subjectMobile Computing
dc.subjectGraphical Password
dc.subjectTouch Gesture- Based Authentication.
dc.titleAndroid Pattern Unlock Authentication - effectiveness of local and global dynamic featuresen
dc.typeText/Conference Paper
gi.citation.endPage236
gi.citation.publisherPlaceBonn
gi.citation.startPage229
gi.conference.date18.-20. September 2019
gi.conference.locationDarmstadt, Germany
gi.conference.sessiontitleFurther Conference Contributions

Dateien

Originalbündel
1 - 1 von 1
Vorschaubild
Name:
BIOSIG_2019_paper_35_update.pdf
Größe:
127.23 KB
Format:
Adobe Portable Document Format
Herunterladen

Sammlungen

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