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

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review

2 Citations (Scopus)

1 Downloads (Pure)

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.

Original language	English
Title of host publication	Proceedings of the 2nd International Conference on Advanced Wireless Information, Data, and Communication Technologies, AWICT 2017
Publisher	ACM
ISBN (Electronic)	9781450353106
DOIs	https://doi.org/10.1145/3231830.3231834
Publication status	Published - 13 Nov 2017
Publication type	A4 Article in conference proceedings
Event	International Conference on Advanced Wireless Information, Data, and Communication Technologies - Paris, France Duration: 13 Nov 2017 → 14 Nov 2017

Conference

Conference	International Conference on Advanced Wireless Information, Data, and Communication Technologies
Country/Territory	France
City	Paris
Period	13/11/17 → 14/11/17

Keywords

Information security
Multi-factor authentication
Risk function
Wearables

Publication forum classification

Publication forum level 1

ASJC Scopus subject areas

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

Access to Document

10.1145/3231830.3231834

Multi-factor authentication for wearables 2017
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Accepted author manuscript, 253 KB

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

Cite this

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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.",

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Bezzateev, S, Afanasyeva, A, Voloshina, N & Ometov, A 2017, Multi-factor authentication for wearables: Configuring system parameters with risk function. in 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, France, 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.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review

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T1 - Multi-factor authentication for wearables

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AU - Bezzateev, Sergey

AU - Afanasyeva, Aleksandra

AU - Voloshina, Natalia

AU - Ometov, Aleksandr

PY - 2017/11/13

Y1 - 2017/11/13

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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

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DO - 10.1145/3231830.3231834

M3 - Conference contribution

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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

Abstract

Conference

Keywords

Publication forum classification

ASJC Scopus subject areas

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Cite this