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

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

123 Scopus Citations
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Author(s)

  • Chen Qiu
  • Gautam Srivastava
  • Thippa Reddy Gadekallu
  • Fawaz Alsolami
  • Chunhua Su

Related Research Unit(s)

Detail(s)

Original languageEnglish
Pages (from-to)8883-8891
Number of pages9
Journal / PublicationIEEE Internet of Things Journal
Volume9
Issue number11
Online published5 Oct 2021
Publication statusPublished - 1 Jun 2022

Abstract

Due to the emergence of heterogeneous Internet of Medical Things (IoMT) (e.g., wearable health devices, smartwatch monitoring, automated insulin delivery systems), large volumes of patient data is 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 (MP), 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 (WMSN), 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 paper, 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 (PUF). 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.

Research Area(s)

  • Authentication, Biometrics (access control), blockchain, Blockchains, Internet of Things, Medical diagnostic imaging, mutual authentication protocol, physical unclonable functions (PUF), Protocols, Security, security and privacy, wireless medical sensor networks (WMSN)

Citation Format(s)

Blockchain and PUF-based Lightweight Authentication Protocol for Wireless Medical Sensor Networks. / Wang, Weizheng; Qiu, Chen; Yin, Zhimeng et al.
In: IEEE Internet of Things Journal, Vol. 9, No. 11, 01.06.2022, p. 8883-8891.

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review