Moves like Jagger: Exploiting variations in instantaneous gait for spontaneous device pairing

Research output: Contribution to journalArticleScientificpeer-review

Researchers

Research units

  • Technical University of Braunschweig

Abstract

Seamless device pairing conditioned on the context of use fosters novel application domains and ease of use. Examples are automatic device pairings with objects interacted with, such as instrumented shopping baskets, electronic tourist guides (e.g. tablets), fitness trackers or other fitness equipment. We propose a cryptographically secure spontaneous authentication scheme, BANDANA, that exploits correlation in acceleration sequences from devices worn or carried together by the same person to extract always-fresh secure secrets. On two real world datasets with 15 and 482 subjects, BANDANA generated fingerprints achieved intra- (50%) and inter-body (>75%) similarity sufficient for secure key generation via fuzzy cryptography. Using BCH codes, best results are achieved with 48 bit fingerprints from 12 gait cycles generating 16 bit long keys. Statistical bias of the generated fingerprints has been evaluated as well as vulnerabilities towards relevant attack scenarios.

Details

Original languageEnglish
Pages (from-to)1-12
Number of pages12
JournalPervasive and Mobile Computing
Volume47
Publication statusPublished - 1 Jul 2018
MoE publication typeA1 Journal article-refereed

    Research areas

  • ad-hoc secure pairing, Authentication, Fuzzy cryptography, Gait

ID: 19264733