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Graphneighbors: hampering shoulder-surfing attacks on smartphones
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Datum
2014
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Gesellschaft für Informatik e.V.
Zusammenfassung
Today, smartphones are widely used and they already have a growing market
share of more than 70 % according to recent studies. These devices often contain
sensitive data like contacts, pictures, or even passwords that can easily be accessed by
an attacker if the phone is not locked. Since they are mobile and used as everyday
gadgets, they are susceptible to get lost or stolen. Hence, access control mechanisms
such as user authentication are required to prevent the data from being accessed by an
attacker. However, commonly used authentication mechanisms like PINs, passwords,
and Android Unlock Patterns suffer from the same weakness: they are all vulnerable
against different kinds of attacks, most notably shoulder-surfing. A promising strategy
to prevent shoulder-surfing is to only enter a derivation of the secret during the
authentication phase.
In this paper, we present a novel authentication mechanism based on the concept
of graphical neighbors to hamper shoulder-surfing attacks. Results of a usability evaluation
with 100 participants show that our implementation called GRAPHNEIGHBORS
is applicable in comparison to commonly used authentication mechanisms.