Konferenzbeitrag
Android Pattern Unlock Authentication - effectiveness of local and global dynamic features
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Text/Conference Paper
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Datum
2019
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Verlag
Gesellschaft für Informatik e.V.
Zusammenfassung
This 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.