User Authentication via Mouse Dynamics

  • Osama A. Salman Department of Computer Science, College of Science, University of Baghdad, Baghdad, Iraq
  • Sarab M. Hameed Department of Computer Science, College of Science, University of Baghdad, Baghdad, Iraq

Abstract

Nowadays, the development of internet communication and the significant increase of using computer lead in turn to increasing unauthorized access. The behavioral biometric namely mouse dynamics is one means of achieving biometric authentication to safeguard against unauthorized access. In this paper, user authentication models via mouse dynamics to distinguish users into genuine and imposter are proposed.  The performance of the proposed models is evaluated using a public dataset consists of 48 users as an evaluation data, where the Accuracy (ACC), False Reject Rate (FRR), and False Accept Rate (FAR) as an evaluation metrics. The results of the proposed models outperform related model considered in the literature.

Published
May 28, 2018
How to Cite
SALMAN, Osama A.; HAMEED, Sarab M.. User Authentication via Mouse Dynamics. Iraqi Journal of Science, [S.l.], p. 963-968, may 2018. ISSN 2312-1637. Available at: <http://scbaghdad.edu.iq/eijs/index.php/eijs/article/view/341>. Date accessed: 20 nov. 2018.
Section
Computer Science