Multi-factor authentication for wearables: Configuring system parameters with risk function

Sergey Bezzateev; Aleksandra Afanasyeva; Natalia Voloshina; Aleksandr Ometov

doi:10.1145/3231830.3231834

Multi-factor authentication for wearables: Configuring system parameters with risk function

Sergey Bezzateev
, Aleksandra Afanasyeva
, Natalia Voloshina
, Aleksandr Ometov

Tutkimustuotos: Konferenssiartikkeli › Tieteellinen › vertaisarvioitu

3 Sitaatiot (Scopus)

13 Lataukset (Pure)

Abstrakti

The users of today are already about to enter the era of highly integrated modern wearable devices-the time when smart accessorieswill, in turn, push aside regular Smartphones and Tablets bringinga variety of new security challenges. The number of simultaneously used bio-sensors, both integrated into smart wearables andconnected over wireless interfaces, allows novel opportunities forMulti-factor Authentication (MFA) of the user. flis manuscriptproposes a solution for conflguring the MFA based on the averagedirect and indirect losses risk analysis. the example applicationof Bayesian function for MFA presents the applicability of the proposed framework for the utilization with wearables.

Alkuperäiskieli	Englanti
Otsikko	Proceedings of the 2nd International Conference on Advanced Wireless Information, Data, and Communication Technologies, AWICT 2017
Kustantaja	ACM
ISBN (elektroninen)	9781450353106
DOI - pysyväislinkit	https://doi.org/10.1145/3231830.3231834
Tila	Julkaistu - 13 marrask. 2017
OKM-julkaisutyyppi	A4 Artikkeli konferenssijulkaisussa
Tapahtuma	International Conference on Advanced Wireless Information, Data, and Communication Technologies - Paris, Ranska Kesto: 13 marrask. 2017 → 14 marrask. 2017

Conference

Conference	International Conference on Advanced Wireless Information, Data, and Communication Technologies
Maa/Alue	Ranska
Kaupunki	Paris
Ajanjakso	13/11/17 → 14/11/17

Rahoitus

‘e work of the first author is supported by the Academy of Finland.

Julkaisufoorumi-taso

Jufo-taso 1

!!ASJC Scopus subject areas

Human-Computer Interaction
Computer Networks and Communications
Computer Vision and Pattern Recognition
Software

Pääsy asiakirjaan

10.1145/3231830.3231834

Multi-factor authentication for wearables 2017
This publication is copyrighted. You may download, display and print it for Your own personal use. Commercial use is prohibited.
Accepted author manuscript, 253 KB

http://urn.fi/URN:NBN:fi:tuni-202002262382

Siteeraa tätä

@inproceedings{b7cee803d39747419863714e9db70ecf,

title = "Multi-factor authentication for wearables: Configuring system parameters with risk function",

abstract = "The users of today are already about to enter the era of highly integrated modern wearable devices-the time when smart accessorieswill, in turn, push aside regular Smartphones and Tablets bringinga variety of new security challenges. The number of simultaneously used bio-sensors, both integrated into smart wearables andconnected over wireless interfaces, allows novel opportunities forMulti-factor Authentication (MFA) of the user. flis manuscriptproposes a solution for conflguring the MFA based on the averagedirect and indirect losses risk analysis. the example applicationof Bayesian function for MFA presents the applicability of the proposed framework for the utilization with wearables.",

keywords = "Information security, Multi-factor authentication, Risk function, Wearables",

author = "Sergey Bezzateev and Aleksandra Afanasyeva and Natalia Voloshina and Aleksandr Ometov",

year = "2017",

month = nov,

day = "13",

doi = "10.1145/3231830.3231834",

language = "English",

booktitle = "Proceedings of the 2nd International Conference on Advanced Wireless Information, Data, and Communication Technologies, AWICT 2017",

publisher = "ACM",

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note = "International Conference on Advanced Wireless Information, Data, and Communication Technologies ; Conference date: 13-11-2017 Through 14-11-2017",

}

Bezzateev, S, Afanasyeva, A, Voloshina, N & Ometov, A 2017, Multi-factor authentication for wearables: Configuring system parameters with risk function. julkaisussa Proceedings of the 2nd International Conference on Advanced Wireless Information, Data, and Communication Technologies, AWICT 2017. ACM, International Conference on Advanced Wireless Information, Data, and Communication Technologies, Paris, Ranska, 13/11/17. https://doi.org/10.1145/3231830.3231834

Multi-factor authentication for wearables: Configuring system parameters with risk function. / Bezzateev, Sergey; Afanasyeva, Aleksandra; Voloshina, Natalia et al.
Proceedings of the 2nd International Conference on Advanced Wireless Information, Data, and Communication Technologies, AWICT 2017. ACM, 2017.

Tutkimustuotos: Konferenssiartikkeli › Tieteellinen › vertaisarvioitu

TY - GEN

T1 - Multi-factor authentication for wearables

T2 - International Conference on Advanced Wireless Information, Data, and Communication Technologies

AU - Bezzateev, Sergey

AU - Afanasyeva, Aleksandra

AU - Voloshina, Natalia

AU - Ometov, Aleksandr

PY - 2017/11/13

Y1 - 2017/11/13

N2 - The users of today are already about to enter the era of highly integrated modern wearable devices-the time when smart accessorieswill, in turn, push aside regular Smartphones and Tablets bringinga variety of new security challenges. The number of simultaneously used bio-sensors, both integrated into smart wearables andconnected over wireless interfaces, allows novel opportunities forMulti-factor Authentication (MFA) of the user. flis manuscriptproposes a solution for conflguring the MFA based on the averagedirect and indirect losses risk analysis. the example applicationof Bayesian function for MFA presents the applicability of the proposed framework for the utilization with wearables.

AB - The users of today are already about to enter the era of highly integrated modern wearable devices-the time when smart accessorieswill, in turn, push aside regular Smartphones and Tablets bringinga variety of new security challenges. The number of simultaneously used bio-sensors, both integrated into smart wearables andconnected over wireless interfaces, allows novel opportunities forMulti-factor Authentication (MFA) of the user. flis manuscriptproposes a solution for conflguring the MFA based on the averagedirect and indirect losses risk analysis. the example applicationof Bayesian function for MFA presents the applicability of the proposed framework for the utilization with wearables.

KW - Information security

KW - Multi-factor authentication

KW - Risk function

KW - Wearables

U2 - 10.1145/3231830.3231834

DO - 10.1145/3231830.3231834

M3 - Conference contribution

AN - SCOPUS:85045304145

BT - Proceedings of the 2nd International Conference on Advanced Wireless Information, Data, and Communication Technologies, AWICT 2017

PB - ACM

Y2 - 13 November 2017 through 14 November 2017

ER -

Multi-factor authentication for wearables: Configuring system parameters with risk function

Abstrakti

Conference

Rahoitus

Julkaisufoorumi-taso

!!ASJC Scopus subject areas

Pääsy asiakirjaan

Sormenjälki

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