Security Vulnerability Analysis and Security Enhancement Framework for Blockchain-Based Authentication Protocols in Medical IoT Systems
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This study evaluates key security vulnerabilities (smart card security, biometric data protection, session key management, resource constraints) in a blockchain-based authentication protocol for the Internet of Medical Things (IoMT). To address these, it proposes enhancements including PUF integration, advanced cryptography, ephemeral key exchange, and lightweight algorithms, aiming to protect sensitive medical data. Future research will focus on exploring quantum-resistant cryptographic algorithms and developing AI-driven adaptive security policies to strengthen the protocol's resilience.
Abstract
This study evaluates key security vulnerabilities (smart card security, biometric data protection, session key management, resource constraints) in a blockchain-based authentication protocol for the Internet of Medical Things (IoMT). To address these, it proposes enhancements including PUF integration, advanced cryptography, ephemeral key exchange, and lightweight algorithms, aiming to protect sensitive medical data. Future research will focus on exploring quantum-resistant cryptographic algorithms and developing AI-driven adaptive security policies to strengthen the protocol's resilience.