Abstract-Secure spontaneous authentication between devices worn at arbitrary location 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 variation in acceleration patterns from gait sequences 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. We demonstrate the robustness of BANDANA on two gait datasets and discuss the discriminability of intra-and inter-body cases, robustness to statistical bias, as well as possible attack scenarios.
We demonstrate the BANDANA gait-based ad-hoc device pairing scheme. Our quantization approach extracts binary fingerprints from the deviation of acceleration sequences representing instantaneous gait vs. mean gait and establishes identical keys for fingerprints generated at distinct locations on the same body via a fuzzy commitment scheme. The separation between device-pairs on same-body and distinct body is possible as the fingerprint similarity exceeds 70% for same-body device pairs but on average reaches only 50% (random guess) for different body device pairs. The application of the BANDANA adhoc pairing will be demonstrated on a pair of Nexus 5X android phones and with a Huawei Watch 2.
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