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

Citation