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

Tutkimustuotos: Artikkeli kirjassa/konferenssijulkaisussavertaisarvioitu

Standard

Demo of BANDANA - Body Area Network Device-to-device Authentication using Natural gAit. / Nguyen, Ngu; Kaya, Çaǧlar Yüce; Brüsch, Arne; Schürmann, Dominik; Sigg, Stephan; Wolf, Lars.

2018 IEEE International Conference on Pervasive Computing and Communications Workshops, PerCom Workshops 2018. Institute of Electrical and Electronics Engineers, 2018. s. 421-423 8480248.

Tutkimustuotos: Artikkeli kirjassa/konferenssijulkaisussavertaisarvioitu

Harvard

Nguyen, N, Kaya, ÇY, Brüsch, A, Schürmann, D, Sigg, S & Wolf, L 2018, Demo of BANDANA - Body Area Network Device-to-device Authentication using Natural gAit. julkaisussa 2018 IEEE International Conference on Pervasive Computing and Communications Workshops, PerCom Workshops 2018., 8480248, Institute of Electrical and Electronics Engineers, Sivut 421-423, Athens, Kreikka, 19/03/2018. https://doi.org/10.1109/PERCOMW.2018.8480248

APA

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. teoksessa 2018 IEEE International Conference on Pervasive Computing and Communications Workshops, PerCom Workshops 2018 (Sivut 421-423). [8480248] Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/PERCOMW.2018.8480248

Vancouver

Nguyen N, Kaya ÇY, Brüsch A, Schürmann D, Sigg S, Wolf L. Demo of BANDANA - Body Area Network Device-to-device Authentication using Natural gAit. julkaisussa 2018 IEEE International Conference on Pervasive Computing and Communications Workshops, PerCom Workshops 2018. Institute of Electrical and Electronics Engineers. 2018. s. 421-423. 8480248 https://doi.org/10.1109/PERCOMW.2018.8480248

Author

Nguyen, Ngu ; Kaya, Çaǧlar Yüce ; Brüsch, Arne ; Schürmann, Dominik ; Sigg, Stephan ; Wolf, Lars. / Demo of BANDANA - Body Area Network Device-to-device Authentication using Natural gAit. 2018 IEEE International Conference on Pervasive Computing and Communications Workshops, PerCom Workshops 2018. Institute of Electrical and Electronics Engineers, 2018. Sivut 421-423

Bibtex - Lataa

@inproceedings{602c95d633da4e67ac879dddfe9a57af,
title = "Demo of BANDANA - Body Area Network Device-to-device Authentication using Natural gAit",
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.",
author = "Ngu Nguyen and Kaya, {{\cC}aǧlar Y{\"u}ce} and Arne Br{\"u}sch and Dominik Sch{\"u}rmann and Stephan Sigg and Lars Wolf",
year = "2018",
month = "10",
day = "2",
doi = "10.1109/PERCOMW.2018.8480248",
language = "English",
pages = "421--423",
booktitle = "2018 IEEE International Conference on Pervasive Computing and Communications Workshops, PerCom Workshops 2018",
publisher = "Institute of Electrical and Electronics Engineers",
address = "United States",

}

RIS - Lataa

TY - GEN

T1 - Demo of BANDANA - Body Area Network Device-to-device Authentication using Natural gAit

AU - Nguyen, Ngu

AU - Kaya, Çaǧlar Yüce

AU - Brüsch, Arne

AU - Schürmann, Dominik

AU - Sigg, Stephan

AU - Wolf, Lars

PY - 2018/10/2

Y1 - 2018/10/2

N2 - 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.

AB - 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.

UR - http://www.scopus.com/inward/record.url?scp=85056474895&partnerID=8YFLogxK

U2 - 10.1109/PERCOMW.2018.8480248

DO - 10.1109/PERCOMW.2018.8480248

M3 - Conference contribution

SP - 421

EP - 423

BT - 2018 IEEE International Conference on Pervasive Computing and Communications Workshops, PerCom Workshops 2018

PB - Institute of Electrical and Electronics Engineers

ER -

ID: 29890815