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At Your Fingertips: Considering Finger Distinctness in Continuous Touch-Based Authentication for Mobile Devices

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

Abstract

Currently, the most prevalent approaches to authenticate smartphones involve either PINs, swipe patterns, or passwords. Few users enable these approaches. In order to encourage adoption, new authentication methods are needed. Emerging methods rely on the distinctness of a user's touch-based gesture for continuous authentication, providing an unobtrusive approach that simply monitors swipes and other input gestures as they are performed in the context of everyday smartphone use. However, existing methods do not consider the distinctness of a user's touch when different fingers are used. In this paper, we present the results of a small pilot study that suggests that a touch-based gesture performed by the same user with a different finger is indeed distinct. We present an approach that uses accelerometer data to identify the position of the phone and the finger that is being used in a touch-based gesture. Our results suggest that touch-based continuous authentication accuracies can be improved by considering accelerometer data and an individual's various fingers.

Original languageEnglish (US)
Title of host publicationProceedings - 2016 IEEE Symposium on Security and Privacy Workshops, SPW 2016
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages272-275
Number of pages4
ISBN (Electronic)9781509008247
DOIs
StatePublished - Aug 1 2016
Externally publishedYes
Event2016 IEEE Symposium on Security and Privacy Workshops, SPW 2016 - San Jose, United States
Duration: May 23 2016May 25 2016

Publication series

NameProceedings - 2016 IEEE Symposium on Security and Privacy Workshops, SPW 2016

Conference

Conference2016 IEEE Symposium on Security and Privacy Workshops, SPW 2016
Country/TerritoryUnited States
CitySan Jose
Period5/23/165/25/16

All Science Journal Classification (ASJC) codes

  • Safety, Risk, Reliability and Quality
  • Computer Networks and Communications
  • Artificial Intelligence

Keywords

  • Biometrics
  • continuous authentication
  • mobile authentication
  • touch interaction

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