Treadmill attack on gait-based authentication systems

Rajesh Kumar, Vir Phoha, Anshumali Jain

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

11 Scopus citations

Abstract

In this paper, we demonstrate that gait patterns of an individual captured through a smartphone accelerometer can be imitated with the support of a digital treadmill. Furthermore, we design an attack for a baseline gait based authentication system (GBAS) and rigorously test its performance over an eighteen user data-set. By employing only two imitators and using a simple digital treadmill with speed control functionality, the attack increases the average false acceptance rate (FAR) from 5.8% to 43.66% for random forest, the best performing classifier in our experiments. More specifically, the FAR of eleven out of eighteen users increased to 70% or more. Our results call for a revisit of the design of the GBAS to make them resilient to such attacks.

Original languageEnglish (US)
Title of host publication2015 IEEE 7th International Conference on Biometrics Theory, Applications and Systems, BTAS 2015
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Print)9781479987764
DOIs
StatePublished - Dec 16 2015
Event7th IEEE International Conference on Biometrics Theory, Applications and Systems, BTAS 2015 - Arlington, United States
Duration: Sep 8 2015Sep 11 2015

Other

Other7th IEEE International Conference on Biometrics Theory, Applications and Systems, BTAS 2015
CountryUnited States
CityArlington
Period9/8/159/11/15

ASJC Scopus subject areas

  • Statistics and Probability
  • Computer Science Applications
  • Biomedical Engineering

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    Kumar, R., Phoha, V., & Jain, A. (2015). Treadmill attack on gait-based authentication systems. In 2015 IEEE 7th International Conference on Biometrics Theory, Applications and Systems, BTAS 2015 [7358801] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/BTAS.2015.7358801