BANDANA - Body area network device-to-device authentication using natural gAit

Secure spontaneous authentication between devices worn at arbitrary locations on the same body is a challenging, yet unsolved problem. We propose BANDANA, the first-ever implicit secure device-to-device authentication scheme for devices worn on the same body. Our approach leverages instantaneous variations in acceleration patterns from the user’s gait to extract alwaysfresh secure secrets. It enables secure spontaneous pairing of devices worn on the same body or interacted with. The method is robust against noise in sensor readings and active attackers.