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Hand stability based features for touch behavior smartphone authentication

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

Recently, smartphones evolve, not only used for communication, but also used for more substantial necessity in daily life. Smartphone store more sensitive information such as banking account, or private information about its owner. Due to the needs for safer smartphone security systems, continuous touch behavior authentication is gain significant attention among researchers. However, recent development shown that touch behavior can be compromised by robotic attack. In this paper, we proposed new set of features based on hand stability to authenticate smartphone users. Hand stability are difficult for robotic system to impersonate due to its micro-movement. Our method using hand stability as features for behavioral authentication achieved EER 9.64 % which is potential for future development.

Original languageEnglish
Title of host publicationProceedings of the 3rd IEEE International Conference on Knowledge Innovation and Invention 2020, ICKII 2020
EditorsTeen-Hang Meen
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages167-170
Number of pages4
ISBN (Electronic)9781728193335
DOIs
Publication statusPublished - 21 Aug 2020
Externally publishedYes
Event3rd IEEE International Conference on Knowledge Innovation and Invention, ICKII 2020 - Kaohsiung, Taiwan, Province of China
Duration: 21 Aug 2020 → 23 Aug 2020

Publication series

NameProceedings of the 3rd IEEE International Conference on Knowledge Innovation and Invention 2020, ICKII 2020

Conference

Conference3rd IEEE International Conference on Knowledge Innovation and Invention, ICKII 2020
Country/TerritoryTaiwan, Province of China
CityKaohsiung
Period21/08/20 → 23/08/20

Keywords

  • Behavioral biometrics authentication
  • Gait based features
  • Smartphone security
  • SVM

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