MNIJLI, Ichrak Eddor; SAMMOUD, Amal; TERRASSON, Guillaume; HULOUX, Nicolas; FEKI, Mariem

doi:10.1109/cns66487.2025.11194972

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MNIJLI, Ichrak Eddor
ESTIA - Institute of technology [ESTIA]

SAMMOUD, Amal
ESTIA - Institute of technology [ESTIA]

TERRASSON, Guillaume

ESTIA - Institute of technology [ESTIA]

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2025 IEEE Conference on Communications and Network Security (CNS), 2025 IEEE Conference on Communications and Network Security (CNS), 2025-09-08, Avignon. 2025-09-08p. 1-2

IEEE

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This paper presents the implementation and evaluation of a fully embedded and lightweight biometric authentication mechanism for resource-constrained nodes in Wireless BodyArea Sensor Networks (WBANs). This mechanism uses realtime photoplethysmography (PPG) signal processing to generate binary sequences, which are compared between nodes to verify their respective identity. Authentication is granted when similarity between the binary sequences of two independent nodes exceeds a threshold. It allows nodes within the same WBAN, on the same person, to establish further and secure communication. The entire authentication mechanism is deployed on low-power embedded hardware and communicates via a lightweight publishsubscribe protocol. Experimental results from intra- and interperson scenarios confirm the accuracy and robustness of the implemented biometric authentication mechanism on resourceconstrained hardware.< Réduire

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WBAN

Biometric Authentication

PPG

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Lightweight Biometric Authentication Mechanism Using PPG Signals for WBAN

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