Mouse tracking, behavioral biometrics, and GEFE

Author

Shelton, Joseph ; Adams, J. ; Leflore, Derrick ; Dozier, Gerry

Author_Institution

Center for Adv. Studies in Identity Sci., North Carolina A&T State Univ., Greensboro, NC, USA

fYear

2013

fDate

4-7 April 2013

Firstpage

1

Lastpage

6

Abstract

In this paper, we introduce a mouse movement behavioral biometric that involves image feature extraction using Genetic and Evolutionary Computations (GECs). This technique is referred to as Genetic and Evolutionary Feature Extraction (GEFE), and has been successfully used on a number of different biometrics. The data collector used in this paper is one where a user moves the mouse in an attempt to bring up a username/password dialog interface. This data collector traces the user´s mouse movement to waken the dialog and represents that as an image. Our results suggest that mouse movement can be used to successfully distinguish between users.

Keywords

biometrics (access control); feature extraction; genetic algorithms; image motion analysis; interactive programming; object tracking; GEC; GEFE; data collector; genetic and evolutionary computation; genetic and evolutionary feature extraction; image feature extraction; mouse movement behavioral biometric; mouse tracking; user mouse movement; username-password dialog interface; Accuracy; Biometrics (access control); Feature extraction; Genetics; Mice; Probes; Sociology; Biometrics; feature extraction; genetic algorithm (GA); genetic and evolutionary feature extraction (GEFE); local binary pattern (LBP); mouse signature;

fLanguage

English

Publisher

ieee

Conference_Titel

Southeastcon, 2013 Proceedings of IEEE

Conference_Location

Jacksonville, FL

ISSN

1091-0050

Print_ISBN

978-1-4799-0052-7

Type

conf

DOI

10.1109/SECON.2013.6567457

Filename

6567457