원문정보
초록
영어
This research identifies security vulnerabilities in IoT-based healthcare authentication, specifically replay attacks, session key predictability, and biometric data leakage. We propose enhancements like adaptive timestamp verification and hybrid entropy sources for stronger session keys. Quantum-resistant cryptography and advanced biometric data protection are also recommended.
목차
Abstract
1. Introduction
2. Related Work
3. Methodology
3.1 System Framework
3.2 Threat Model
3.3 Security Protocol Design
3.4 Formal Verification
4. Vulnerability Analysis Results
4.1 Vulnerability to Replay Attacks
4.2 Predictability of Session Keys
4.3 Insufficient Entropy of Biometric-Based Keys
4.4 Partial Confidentiality Leakage in Public Channel Messages
5. Improvement Directions
5.1 Mitigating Replay Attacks via Adaptive Timestamp Verification
5.2 Strengthening Session Keys with Hybrid Entropy Sources
5.3 Enhancing Biometric Entropy via Multi-Modal Fusion
5.4 Quantum-Resistant Hash Functions for Long-Term Security
6. Conclusion
References
1. Introduction
2. Related Work
3. Methodology
3.1 System Framework
3.2 Threat Model
3.3 Security Protocol Design
3.4 Formal Verification
4. Vulnerability Analysis Results
4.1 Vulnerability to Replay Attacks
4.2 Predictability of Session Keys
4.3 Insufficient Entropy of Biometric-Based Keys
4.4 Partial Confidentiality Leakage in Public Channel Messages
5. Improvement Directions
5.1 Mitigating Replay Attacks via Adaptive Timestamp Verification
5.2 Strengthening Session Keys with Hybrid Entropy Sources
5.3 Enhancing Biometric Entropy via Multi-Modal Fusion
5.4 Quantum-Resistant Hash Functions for Long-Term Security
6. Conclusion
References
키워드
저자정보
참고문헌
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