Hand stability based features for touch behavior smartphone authentication

Aswin Suharsono, Deron Liang

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-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
StatePublished - 21 Aug 2020
Event3rd IEEE International Conference on Knowledge Innovation and Invention, ICKII 2020 - Kaohsiung, Taiwan
Duration: 21 Aug 202023 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
CityKaohsiung
Period21/08/2023/08/20

Keywords

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

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