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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

Details

Original languageEnglish
Title of host publicationProceedings of the 2nd International Conference on Advanced Wireless Information, Data, and Communication Technologies, AWICT 2017
PublisherACM
ISBN (Electronic)9781450353106
DOIs
Publication statusPublished - 13 Nov 2017
Publication typeA4 Article in a conference publication
EventInternational Conference on Advanced Wireless Information, Data, and Communication Technologies - Paris, France
Duration: 13 Nov 201714 Nov 2017

Conference

ConferenceInternational Conference on Advanced Wireless Information, Data, and Communication Technologies
CountryFrance
CityParis
Period13/11/1714/11/17

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

Publication forum classification