A static authentication framework based on mouse gesture dynamics
Date
2010-06-02T18:06:49Z
Authors
Sayed, Bassam
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Abstract
Mouse dynamics biometrics is a behavioural biometrics technology which consists of the movement characteristics of the mouse input device when a computer user is interacting with a graphical user interface. However, existing studies on mouse dynamics analysis have targeted primainely continuous authentication or user reauthentication
for which promising results have been achieved. Static authentication using mouse dynamics appear to face some challenges because of the limited amount of data that could reasonably be captured during such process. We present, in this thesis, a new mouse dynamics analysis framework that uses mouse gesture dynamics for static authentication. The captured gestures are analyzed using LVQ neural network
classifier. We conducted an experimental evaluation of our framework involving 41
users, achieving FAR = 1.55% and FRR = 2% when four gestures are combined.
Description
Keywords
Mice (Computers), Authentication