Multi-factor authentication for wearables : Configuring system parameters with risk function
| Autor: | Sergey Bezzateev, Natalia Voloshina, Aleksandra Afanasyeva, Aleksandr Ometov |
|---|---|
| Přispěvatelé: | Tampere University, Electronics and Communications Engineering |
| Jazyk: | angličtina |
| Rok vydání: | 2017 |
| Předmět: |
Authentication
Computer science business.industry media_common.quotation_subject 213 Electronic automation and communications engineering electronics Wearable computer Information security Multi-factor authentication Software Embedded system Wireless business Function (engineering) Wearable technology media_common |
| Zdroj: | AWICT |
| Popis: | 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. acceptedVersion |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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