Title :
Comparing classification algorithm for mouse dynamics based user identification
Author :
Shen, Chao ; Cai, Zhongmin ; Maxion, Roy A. ; Xiang, Guang ; Guan, Xiaohong
Author_Institution :
SKLMS Lab. & MOE KLNNIS Lab., Xi´´an Jiaotong Univ., Xi´´an, China
Abstract :
Mouse dynamics is the process of identifying individual users based on their mouse operating behaviors. Many classification algorithms have been proposed for checking users´ identity, thus it is natural to ask how well each classifier performs and how various classifiers compare to each other (e.g., to identify promising research directions). Unfortunately, we cannot conduct a valid comparison of classifiers based on the results in the literature because of inconsistent datasets, experimental conditions and methodologies across studies. The objective of this study is to obtain a dataset, to develop an objective and repeatable evaluation procedure, and to measure the performance of a range of classifiers on an equal basis. Using data from 26 subjects conducting a fixed mouse-operation task 300 times each, we implemented and evaluated twelve classifiers from the mouse-dynamics and pattern-recognition literature for a user identification task. The four top-performing classifiers achieve false-negative identification rates between 17.31% and 23.72%. The results, along with the evaluation methodology, constitute a benchmark for comparing classifiers and measuring progress for the user identification problem.
Keywords :
biometrics (access control); mouse controllers (computers); pattern classification; behavioral biometric; classification algorithm; classifier; evaluation procedure; individual user identification; mouse dynamics based user identification; mouse operating behaviors; mouse-operation task; pattern-recognition literature; user identity checking; Acceleration; Classification algorithms; Mice; Support vector machine classification; Testing; Training; Vectors;
Conference_Titel :
Biometrics: Theory, Applications and Systems (BTAS), 2012 IEEE Fifth International Conference on
Conference_Location :
Arlington, VA
Print_ISBN :
978-1-4673-1384-1
Electronic_ISBN :
978-1-4673-1383-4
DOI :
10.1109/BTAS.2012.6374551