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Smart Kiosk with Gait-Based Continuous Authentication

  • Duong-Tien PhanEmail author
  • Nhan Nguyen-Trong Dam
  • Minh-Phuc Nguyen
  • Minh-Triet Tran
  • Toan-Thinh Truong
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9189)

Abstract

The authors propose to develop a smart kiosk that plays the role of an identity selector activated implicitly when a user is approaching that kiosk. The identity of a user is recognized implicitly in background by a mobile/wearable device based on his or her gait features. Upon arriving at a smart kiosk, the authentication process is performed automatically with the current available user identity in his or her portable device. To realize our system, we propose a new secure authentication scheme compatible with gait-based continuous authentication that can resist against known attacks, including three-factor attacks. Furthermore, we also propose a method to recognize users from their moving patterns using multiple SVM classifiers. Experiments with a dataset with 38 people show that this method can achieve the accuracy up to 92.028 %.

Keywords

Gait-based recognition Continuous authentication Smart kiosk Mobile device Wearable device 

Notes

Acknowledgement

This research is funded by Vietnam National University HoChiMinh City (VNU-HCM) under grant number B2015-18-01.

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Copyright information

© Springer International Publishing Switzerland 2015

Authors and Affiliations

  • Duong-Tien Phan
    • 1
    Email author
  • Nhan Nguyen-Trong Dam
    • 1
  • Minh-Phuc Nguyen
    • 1
  • Minh-Triet Tran
    • 1
  • Toan-Thinh Truong
    • 1
  1. 1.Faculty of Information TechnologyUniversity of Science VNU-HCMHo Chi Minh CityVietnam

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