Human-based fraudulent attempts on gait based profiles

Abstract

Recent research involves biometrics in authentication as they establish a natural way of communication. Accordingly, in this paper, we describe the implementation of an Android-based authentication application and we focus on human factor impostor attacks on gait based systems. We used the smartphone's built-in accelerometer to record gait cycles while walking. Results proved that imitating other's gait cycles is possible and can be a huge threat.