Multi-factor authentication for wearables : Configuring system parameters with risk function
Bezzateev, Sergey; Afanasyeva, Aleksandra; Voloshina, Natalia; Ometov, Aleksandr (2017-11-13)
Bezzateev, Sergey
Afanasyeva, Aleksandra
Voloshina, Natalia
Ometov, Aleksandr
ACM
13.11.2017
Proceedings of the 2nd International Conference on Advanced Wireless Information, Data, and Communication Technologies, AWICT 2017
Julkaisun pysyvä osoite on
https://urn.fi/URN:NBN:fi:tuni-202002262382
https://urn.fi/URN:NBN:fi:tuni-202002262382
Kuvaus
Peer reviewed
Tiivistelmä
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.
Kokoelmat
- TUNICRIS-julkaisut [16983]