사물 인터넷 기반 헬스케어 원격 환자 모니터링 시스템을 위한 경량 및 견고한 인증 프로토콜의 보안 취약점
This paper examines security vulnerabilities in current authentication methods for remote patient monitoring in Wireless Medical Sensor Networks (WMSNs), including offline password guessing and man-in-the-middle attacks. We propose a novel three-factor authentication protocol using fuzzy extractors and lightweight cryptography. Formal analysis via the Real-or-Random (ROR) model and Tamarin Prover confirms its robustness, perfect forward/backward secrecy, mutual authentication, anonymity, and untraceability. Performance comparisons demonstrate reduced overhead and enhanced security, offering a promising framework for IoMT development.