Hand in Motion: Enhanced authentication through wrist and mouse movement

Borui Li, Wei Wang, Yang Gao, Vir Phoha, Zhanpeng Jin

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations

Abstract

Behavioral biometrics have been long used as a complementary method to the traditional one-time authentication system. Mouse dynamics, representing an individual's unique patterns of mouse operations, possess a great potential to bridge the security gap between two one-time authentications on the computer. In this paper, we propose a continuous authentication approach by combining the deviceindependent, angle-based mouse movement features and the wrist motion features. Based on a Random Forest Ensemble Classifier (RFEC) and the Sequential Sampling Analysis (SSA), the identity of the user can be continuously verified. Experimental results, based on 26 subjects, show that the proposed approach can reach the False Accept Rate (FAR) of 1.46% and 4.69% for impostors and intruders respectively and a False Reject Rate (FRR) of 0%. Moreover, the proposed approach is proven to be more effective in timely authentication (i.e., making an authentication decision within only 9 to 12 mouse clicks), compared with conventional methods solely based on the mouse geometry and locomotion features.

Original languageEnglish (US)
Title of host publication2018 IEEE 9th International Conference on Biometrics Theory, Applications and Systems, BTAS 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781538671795
DOIs
StatePublished - Apr 24 2019
Event9th IEEE International Conference on Biometrics Theory, Applications and Systems, BTAS 2018 - Redondo Beach, United States
Duration: Oct 22 2018Oct 25 2018

Publication series

Name2018 IEEE 9th International Conference on Biometrics Theory, Applications and Systems, BTAS 2018

Conference

Conference9th IEEE International Conference on Biometrics Theory, Applications and Systems, BTAS 2018
CountryUnited States
CityRedondo Beach
Period10/22/1810/25/18

ASJC Scopus subject areas

  • Statistics and Probability
  • Biomedical Engineering
  • Computer Science Applications

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  • Cite this

    Li, B., Wang, W., Gao, Y., Phoha, V., & Jin, Z. (2019). Hand in Motion: Enhanced authentication through wrist and mouse movement. In 2018 IEEE 9th International Conference on Biometrics Theory, Applications and Systems, BTAS 2018 [8698577] (2018 IEEE 9th International Conference on Biometrics Theory, Applications and Systems, BTAS 2018). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/BTAS.2018.8698577