Title :
A new mobile biometric based upon usage context
Author :
Bassu, Devasis ; Cochinwala, Munir ; Jain, Abhishek
Author_Institution :
Appl. Commun. Sci., Basking Ridge, NJ, USA
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.
Keywords :
authorisation; mobile computing; pattern classification; authentication framework; biometric modalities; classification model; eye movement; location context; mobile biometric; mobile device security; mobile device usage; mobile user authentication; motion context; representation scheme; usage context; Authentication; Biological system modeling; Context; Data models; Measurement; Mobile communication; Mobile handsets; active-authentication; authentication framework; bayseian classifier; mobile biometric; usage-context;
Conference_Titel :
Technologies for Homeland Security (HST), 2013 IEEE International Conference on
Conference_Location :
Waltham, MA
Print_ISBN :
978-1-4799-3963-3
DOI :
10.1109/THS.2013.6699045