Multimodal Continuous Authentication Based on Match Level Fusion

With the rapid popularization of mobile devices, power grid system relies on mobile devices more and more. The traditional identity authentication cannot meet the security requirements of power grid system. Although continuous authentication can be achieved through behavioral features, there is still a problem of insufficient authentication accuracy. This paper proposes a method of fusion of gait and touch behavior. The fusion level is match level fusion. Weighted addition fusion is used to fuse gait matching score and touch matching score to improve the accuracy of authentication.