Security Vulnerabilities for a Lightweight and Robust Authenticatio Authentication Protocol for Remote Patient Monitoring in IoT-Based Healthcare
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.
목차
Abstract 1. Introduction 2. Related Work 3. Proposed Protocol 3.1 Setup Phase 3.2 Registration Phase 3.3 Login Phase 4. Security Vulnerabilities in the Protocol 4.1 Limitations of Mathematical Assumptions 4.2 Computational Complexity of Secret Key Generation 4.3 Conflict Between Anonymity and Tracking Functions 5. Countermeasures for Vulnerabilities 5.1 Countermeasures for Each Vulnerability 6. Conclusion References
키워드
무선 의료 센서 네트워크인증 프로토콜퍼지 추출기정형 보안 분석사물 인터넷 보안WMSNAuthentication ProtocolFuzzy ExtractorFormal Security AnalysisIoT Security
저자
Haewon Byeon [ 변해원 | Dept. of Future Technology, Korea University of Technology and Education, South Korea ]
Corresponding Author