Academic Word List from abstract paper
An
Efficient User Verification System Using Angle-Based Mouse Movement
Biometrics
Biometric
authentication verifies a user based on its inherent, unique
characteristics - who you are. In addition to physiological
biometrics, behavioral biometrics has proven very useful in
authenticating a user. Mouse dynamics, with their unique patterns of
mouse movements, is one such behavioral biometric. In this article,
we present a user verification system using mouse dynamics, which is
transparent to users and can be naturally applied for continuous
reauthentication. The key feature of our system lies in using
much more fine-grained (point-by-point) angle-based metrics of mouse
movements for user verification. These new metrics are relatively
unique from person to person and independent of a computing platform.
Moreover, we utilize support vector machines (SVMs) for quick and
accurate classification. Our technique is robust across different
operating platforms, and no specialized hardware is required. The
efficacy of our approach is validated through a series of
experiments, which are based on three sets of user mouse movement
data collected in controllable environments and in the field. Our
experimental results show that the proposed system can verify a user
in an accurate and timely manner, with minor induced system overhead.
Source:
http://dl.acm.org/citation.cfm?id=2046725
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