Cross-Modality Continuous User Authentication and Device Pairing with Respiratory Patterns

At-home screening systems for obstructive sleep apnea (OSA) can bring convenience to remote chronic disease management. However, the unsupervised home environment is subject spoofing and unintentional interference from household member. To improve robustness, this work presents SIENNA, an insider-resistant breathing-based authentication/pairing protocol. SIENNA leverages uniqueness of breathing patterns automatically continuously authenticate a user pairs mobile OSA app physiological monitoring radar system (PRMS). does not require biometric enrollment instead transforms respiratory measurements taken during users routine physical checkup into biometrics comparable with PRMS readings. Furthermore, it operate within noisy multi-target secure against co-located attacker through usage JADE-ICA, fuzzy commitment, friendly jamming. We fully implemented evaluated its performance medium-scale trials. Results show that achieve reliable (> 90% success rate) authentication device pairing in full knowledge authorized biometrics.