Whose move is it anyway? Authenticating smart wearable devices using unique head movement patterns

Sugang Li, Ashwin Ashok, Yanyong Zhang, Chenren Xu, Janne Lindqvist, Macro Gruteser

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

38 Citations (Scopus)

Abstract

In this paper, we present the design, implementation and evaluation of a user authentication system, Headbanger, for smart head-worn devices, through monitoring the user's unique head-movement patterns in response to an external audio stimulus. Compared to today's solutions, which primarily rely on indirect authentication mechanisms via the user's smartphone, thus cumbersome and susceptible to adversary intrusions, the proposed head-movement based authentication provides an accurate, robust, light-weight and convenient solution. Through extensive experimental evaluation with 95 participants, we show that our mechanism can accurately authenticate users with an average true acceptance rate of 95.57% while keeping the average false acceptance rate of 4.43%. We also show that even simple head-movement patterns are robust against imitation attacks. Finally, we demonstrate our authentication algorithm is rather light-weight: the overall processing latency on Google Glass is around 1.9 seconds.

Original languageEnglish
Title of host publication2016 IEEE International Conference on Pervasive Computing and Communications, PerCom 2016
PublisherIEEE
ISBN (Electronic)9781467387798
DOIs
Publication statusPublished - 19 Apr 2016
MoE publication typeA4 Article in a conference publication
EventIEEE International Conference on Pervasive Computing and Communications Workshops - Sydney, Australia
Duration: 14 Mar 201618 Mar 2016
Conference number: 13

Publication series

Name2016 IEEE International Conference on Pervasive Computing and Communications, PerCom 2016

Conference

ConferenceIEEE International Conference on Pervasive Computing and Communications Workshops
Abbreviated titlePerCom Workshops
Country/TerritoryAustralia
CitySydney
Period14/03/201618/03/2016

Fingerprint

Dive into the research topics of 'Whose move is it anyway? Authenticating smart wearable devices using unique head movement patterns'. Together they form a unique fingerprint.

Cite this