A Lightweight Blockchain-Assisted Authentication and Key Agreement Protocol for Secure Internet of Medical Things

计算机科学 计算机安全 计算机网络 认证(法律) 身份验证协议 密钥协议 架空(工程) 匿名 可扩展性 钥匙(锁) 安全性分析 密码协议 协议(科学) 互联网 能源消耗 密码学 互联网安全 报文认证码 密钥管理 路由协议 网关(网页) 默认网关 公钥密码术 Otway–Rees协议 挑战握手验证协议 通信协议 脆弱性(计算) 无线传感器网络
作者
Xin Chu,Jing Sun,Jiaxuan Xie,Junhua Shen
出处
期刊:IEEE Internet of Things Journal [Institute of Electrical and Electronics Engineers]
卷期号:: 1-1
标识
DOI:10.1109/jiot.2026.3652015
摘要

By leveraging the Internet of Things (IoT) network to enable real-time communication between doctors and patients, the Internet of Medical Things (IoMT) has significantly enhanced healthcare service delivery. Nevertheless, insecure communication channels expose IoMT systems to heightened energy consumption and potential data breaches. Although numerous authentication and key agreement protocols have been proposed to secure communication, many of them incur considerable computational and communication overhead on resource-constrained IoMT systems. Moreover, a substantial number of these protocols fail to effectively resist physical capture attacks and often lack scalability, which may result in excessive energy burdens in resource-limited scenarios. To address these challenges, we propose a lightweight blockchain-assisted authentication and key agreement protocol specifically designed for secure and resource-constrained IoMT systems. Considering the need for both scalability and low energy consumption in such systems, blockchain is employed to enable decentralized authentication managed by multiple gateway nodes. To further alleviate the risks arising from insecure communication, our protocol integrates a lightweight fuzzy extractor with physically unclonable functions, offering fault-tolerant authentication and hardware-level security assurances. Additionally, we introduce a dynamic pseudonym mechanism to guarantee identity anonymity and untraceability for both communicating parties during dynamic access sessions. Extensive security and performance evaluations demonstrate that the proposed protocol effectively withstands diverse attacks while maintaining lower computational and communication overhead compared with existing approaches.
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