Dr. Xin Liu, an Assistant Professor in the Department of Computer Science, has a paper accepted by the 2026 IEEE Symposium on Security and Privacy (IEEE S&P 2026). The paper is titled “2FiA: Towards WiFi Sensing-Based Authentication with Unique Biometrics.”
The work introduces 2FiA, the first dual-biometrics WiFi sensing-based authentication system that combines respiration (as the primary factor) and heartbeat (as a secondary, harder-to-imitate factor) to improve robustness against impersonation attacks. To enable heartbeat-based authentication with WiFi sensing, the system develops a signal processing pipeline that localizes the thoracic region, suppresses co-located interference, separates respiration from the weaker heartbeat component, and uses a physiological correlation constraint for validating heartbeat signals.
The work introduces 2FiA, the first dual-biometrics WiFi sensing-based authentication system that combines respiration (as the primary factor) and heartbeat (as a secondary, harder-to-imitate factor) to improve robustness against impersonation attacks. To enable heartbeat-based authentication with WiFi sensing, the system develops a signal processing pipeline that localizes the thoracic region, suppresses co-located interference, separates respiration from the weaker heartbeat component, and uses a physiological correlation constraint for validating heartbeat signals.
Authors: Bofan Li, Zhankai Ye, Weikuan Yu, Yongning Tang, Xin Liu