Multi-factor Authentication for Wearables: Configuring System Parameters with Risk Function
The users of today are already about to enter the era of modern smart wearable devices, a time when smart accessories will in turn push aside regular old phones and Tablets bringing a variety of new security challenges. The number of bio-sensors both integrated in smart wearables and connected over wireless interface allows a new way of multi-factor authentication (MFA) of the user being him temporary or even unwanted. This manuscript proposes a solution for conguring the MFA based on the average direct and indirect losses risk analysis. The example application of Bayesian function for MFA is proving the applicability of the proposed framework for the utilization with wearable devices.