Demo of BANDANA - Body Area Network Device-to-device Authentication using Natural gAit

Ngu Nguyen, Çaǧlar Yüce Kaya, Arne Brüsch, Dominik Schürmann, Stephan Sigg, Lars Wolf

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

90 Downloads (Pure)

Abstract

We demonstrate the BANDANA gait-based ad-hoc device pairing scheme. Our quantization approach extracts binary fingerprints from the deviation of acceleration sequences representing instantaneous gait vs. mean gait and establishes identical keys for fingerprints generated at distinct locations on the same body via a fuzzy commitment scheme. The separation between device-pairs on same-body and distinct body is possible as the fingerprint similarity exceeds 70% for same-body device pairs but on average reaches only 50% (random guess) for different body device pairs. The application of the BANDANA ad-hoc pairing will be demonstrated on a pair of Nexus 5X android phones and with a Huawei Watch 2.

Original languageEnglish
Title of host publication2018 IEEE International Conference on Pervasive Computing and Communications Workshops, PerCom Workshops 2018
PublisherIEEE
Pages421-423
Number of pages3
ISBN (Electronic)9781538632277
DOIs
Publication statusPublished - 2 Oct 2018
MoE publication typeA4 Article in a conference publication
EventIEEE International Conference on Pervasive Computing and Communications Workshops - Athens, Greece
Duration: 19 Mar 201823 Mar 2018

Conference

ConferenceIEEE International Conference on Pervasive Computing and Communications Workshops
Abbreviated titlePerCom Workshops
CountryGreece
CityAthens
Period19/03/201823/03/2018

Fingerprint Dive into the research topics of 'Demo of BANDANA - Body Area Network Device-to-device Authentication using Natural gAit'. Together they form a unique fingerprint.

  • Cite this

    Nguyen, N., Kaya, Ç. Y., Brüsch, A., Schürmann, D., Sigg, S., & Wolf, L. (2018). Demo of BANDANA - Body Area Network Device-to-device Authentication using Natural gAit. In 2018 IEEE International Conference on Pervasive Computing and Communications Workshops, PerCom Workshops 2018 (pp. 421-423). [8480248] IEEE. https://doi.org/10.1109/PERCOMW.2018.8480248