An Efficient‐Secure Patient Authentication Framework Using Wireless Body Sensor Networks in the Healthcare System

ABSTRACT Wireless body sensor networks (WBSNs) are increasingly used in healthcare for remote monitoring of patients. Although these systems improve access to medical care, they also face serious challenges related to data security and patient authentication. This study proposes a lightweight and secure authentication framework based on a Three‐Tier Secure Message Authentication Code (TTSMAC) protocol. The framework combines three key techniques: Factorized RSA (FRSA) for efficient key generation, Length Pearson Hashing (LPH) for secure token management, and Dual Secret Key Elliptic Curve Cryptography (DSK‐ECC) for protecting stored data. Experimental results showed that the proposed framework reduces encryption/decryption time, lowers key setup overhead, and achieves higher throughput compared with existing methods. Also, the performance evaluations showed substantial improvements in encryption/decryption times and throughput, demonstrating the framework's suitability for resource‐constrained, battery‐powered wearable sensors. Overall, the framework enhances security, maintains patient data privacy, and ensures reliable authentication for WBSN‐based healthcare applications.