Blockchain and PUF-Based Lightweight Authentication Protocol for Wireless Medical Sensor Networks

计算机科学 计算机网络 认证(法律) 服务器 无线传感器网络 身份验证协议 计算机安全 相互认证
作者
Weizheng Wang,Chen Qiu,Zhimeng Yin,Gautam Srivastava,Thippa Reddy Gadekallu,Fawaz Alsolami,Chunhua Su
出处
期刊:IEEE Internet of Things Journal [Institute of Electrical and Electronics Engineers]
卷期号:9 (11): 8883-8891 被引量:204
标识
DOI:10.1109/jiot.2021.3117762
摘要

Due to the emergence of heterogeneous Internet of Medical Things (IoMT) (e.g., wearable health devices, smartwatch monitoring, and automated insulin delivery systems), large volumes of patient data are dispatched to central cloud servers for disease analysis and diagnosis. Although this direct mode brings a lot of convenience for both patients and medical professionals (MPs), the open communication channel between them also incurs several security and privacy issues, such as man-in-the-middle attacks, eavesdropping attacks, and tracking attacks. Based on the unsolved challenges in wireless medical sensor networks (WMSNs), several researchers have proposed various authentication and key agreement (AKA) protocols for this type of healthcare system recently. However, most of these protocols do not perceive physical-layer security and over-centralized server problem in WMSN. In this article, to address these two open problems, we propose a lightweight and reliable authentication protocol for WMSN, which is composed of cutting-edge blockchain technology and physically unclonable functions (PUFs). In addition, a fuzzy extractor scheme is introduced to deal with biometric information. Subsequently, two security evaluation methods are used to prove the high reliability of our proposed scheme. Finally, performance evaluation experiments illustrate that the proposed mutual authentication protocol requires the least computation and communication cost among the compared schemes.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
刚刚
刚刚
Satal发布了新的文献求助20
刚刚
2秒前
我爱科研完成签到,获得积分10
3秒前
4秒前
5秒前
Gaoooo关注了科研通微信公众号
6秒前
狂野西牛完成签到 ,获得积分10
7秒前
7秒前
点点发布了新的文献求助10
8秒前
慕青应助穗穗不是小可爱采纳,获得10
9秒前
852应助董羽佳采纳,获得10
9秒前
CipherSage应助结实的锅包肉采纳,获得10
10秒前
dde应助人文采纳,获得20
10秒前
10秒前
彩色的续完成签到,获得积分10
11秒前
哭唧唧完成签到,获得积分10
12秒前
科研通AI6.2应助666采纳,获得10
13秒前
打打应助怕黑的咖啡豆采纳,获得10
13秒前
14秒前
xxxxzg发布了新的文献求助10
14秒前
14秒前
wangrch6完成签到,获得积分10
14秒前
上上签完成签到,获得积分10
15秒前
天天快乐应助风中的小夏采纳,获得10
15秒前
16秒前
科研通AI6.4应助zzzzzz采纳,获得10
16秒前
ygg发布了新的文献求助10
19秒前
20秒前
董羽佳发布了新的文献求助10
20秒前
21秒前
22秒前
23秒前
23秒前
24秒前
Or完成签到,获得积分10
24秒前
24秒前
李仔仔完成签到 ,获得积分10
24秒前
单薄惜天完成签到 ,获得积分10
25秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Römisch-Germanische Forschungen 1000
APA handbook of comparative psychology: Basic concepts, methods, neural substrate, and behavior 1000
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
The fast track to determining transfer functions of linear circuits: The student guide 500
Electric machines: theory, operating applications, and controls 500
The Analytical and Numerical Solution of Electric and Magnetic Fields 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7603240
求助须知:如何正确求助?哪些是违规求助? 9179105
关于积分的说明 19657631
捐赠科研通 7178416
什么是DOI,文献DOI怎么找? 3269140
关于科研通互助平台的介绍 2433278
邀请新用户注册赠送积分活动 2262961