Authenticating Mobile Phone Users Based on Their Typing Position Using Keystroke Dynamics

Keystroke dynamics is an emerging biometric method for user authentication. With the increased use of mobile phones, the use of keystroke dynamics for mobiles has been evaluated by many researchers. Mostly, the research has been carried upon data which was collected from users when they were in sitting position only. This study was conducted by collecting user data in two positions, sitting and walking, and using the phone in landscape and portrait mode. The results were positive with best EER of 3.69% achieved in walking-landscape position by using standard keystroke features and random forest algorithm. The results were also better as compared to making a single user profile by combining the data from all different positions where the achieved EER was 4.12%.

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