A new mobile biometric based upon usage context

Devasis Bassu, Munir Cochinwala, Ashish Jain

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

14 Scopus citations

Abstract

Securing mobile devices present unique challenges and there is considerable interest in identification of new biometric modalities for active authentication of mobile users. Naïve extension of desktop and other fixed asset biometric modalities to mobile environment is limiting because (a) mobile use provides a richer usage context including location and motion which should be exploited, and (b) biometrics like mouse and eye movement don't simply extend to the mobile usage. We present a new mobile biometric that combines behavioral elements corresponding to what, where, when, and how of the mobile device usage. We propose a representation scheme and a classification model for the new biometric. We also outline an active authentication framework and a test and evaluation approach for using the new biometric.

Original languageEnglish (US)
Title of host publication2013 IEEE International Conference on Technologies for Homeland Security, HST 2013
Pages441-446
Number of pages6
DOIs
StatePublished - 2013
Externally publishedYes
Event2013 13th IEEE International Conference on Technologies for Homeland Security, HST 2013 - Waltham, MA, United States
Duration: Nov 12 2013Nov 14 2013

Publication series

Name2013 IEEE International Conference on Technologies for Homeland Security, HST 2013

Other

Other2013 13th IEEE International Conference on Technologies for Homeland Security, HST 2013
Country/TerritoryUnited States
CityWaltham, MA
Period11/12/1311/14/13

All Science Journal Classification (ASJC) codes

  • Public Administration

Keywords

  • active-authentication
  • authentication framework
  • bayseian classifier
  • mobile biometric
  • usage-context

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