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

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

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Multi-factor authentication for wearables : Configuring system parameters with risk function. / Bezzateev, Sergey; Afanasyeva, Aleksandra; Voloshina, Natalia; Ometov, Aleksandr.

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 proceedingConference contributionScientificpeer-review

Harvard

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

APA

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. https://doi.org/10.1145/3231830.3231834

Vancouver

Bezzateev S, Afanasyeva A, Voloshina N, Ometov A. 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. 2017 https://doi.org/10.1145/3231830.3231834

Author

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

Bibtex - Download

@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 = "11",
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",

}

RIS (suitable for import to EndNote) - Download

TY - GEN

T1 - Multi-factor authentication for wearables

T2 - Configuring system parameters with risk function

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

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

PB - ACM

ER -