Security-Enhanced Lightweight and Anonymity-Preserving User Authentication Scheme for IoT-Based Healthcare

被引：2

作者：

Zhou, Xin ^{[1
,2
]}

Wang, Shengbao ^{[1
,2
]}

Wen, Kang ^{[1
,2
]}

Hu, Bin ^{[1
,2
]}

Tan, Xiao ^{[1
,2
]}

Xie, Qi ^{[3
,4
,5
]}

机构：

[1] Hangzhou Normal Univ, Sch Informat Sci & Technol, Hangzhou 311121, Peoples R China

[2] Hangzhou Normal Univ, Key Lab Cryptog Zhejiang Prov, Hangzhou 311121, Peoples R China

[3] Fujian Normal Univ, Sch Math & Stat, Fuzhou 350007, Peoples R China

[4] Hangzhou Normal Univ, Sch Math, Hangzhou 311121, Peoples R China

[5] Hangzhou Normal Univ, Key Lab Cryptog Zhejiang Prov, Hangzhou 311121, Peoples R China

来源：

IEEE INTERNET OF THINGS JOURNAL | 2024年 / 11卷 / 06期

基金：

中国国家自然科学基金;

关键词：

Protocols; Security; Authentication; Medical services; Physical unclonable function; Passwords; Hash functions; Authenticated key exchange; BAN logic; fuzzy extractor; Internet of Medical Things (IoMT); physical unclonable function (PUF); ProVerif; INTERNET;

D O I：

10.1109/JIOT.2023.3323614

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Ensuring trust within the healthcare system and addressing privacy and security challenges in the Internet of Medical Things (IoMT) is of paramount importance. Based on our preliminary analysis results of Masud et al.'s authentication protocol, we propose an improved solution building upon their protocol. Our improved protocol incorporates various security measures to enhance its security. To validate the effectiveness of our improved protocol, we employ a comprehensive range of heuristic and formal security analysis methods. Comparative evaluations with other relevant protocols reveal that our proposed solution achieves satisfactory operational performance in resource-constrained IoMT scenarios.

引用

页码：9599 / 9609

页数：11

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