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

Dominik Schürmann*, Arne Brüsch, Ngu Nguyen, Stephan Sigg, Lars Wolf

*Tämän työn vastaava kirjoittaja

Tutkimustuotos: LehtiartikkeliArticleScientificvertaisarvioitu

9 Sitaatiot (Scopus)
163 Lataukset (Pure)

Abstrakti

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.

AlkuperäiskieliEnglanti
Sivut1-12
Sivumäärä12
JulkaisuPervasive and Mobile Computing
Vuosikerta47
DOI - pysyväislinkit
TilaJulkaistu - 1 heinäk. 2018
OKM-julkaisutyyppiA1 Alkuperäisartikkeli tieteellisessä aikakauslehdessä

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