Enhancing Security and Privacy in Healthcare Systems Using a Lightweight RFID Protocol

Author:

Khan Muhammad Ayaz1,Ullah Subhan2ORCID,Ahmad Tahir3ORCID,Jawad Khwaja4,Buriro Attaullah5ORCID

Affiliation:

1. Department of Computer Science, Air University, Islamabad 44000, Pakistan

2. Faculty of Computer Science, National University of Computer and Emerging Sciences (NUCES-FAST), Islamabad 44000, Pakistan

3. Center for Cybersecurity, Brunno Kessler Foundation, 38123 Trento, Italy

4. Department of Computer Science, Iqra National University, Swat 19200, Pakistan

5. Faculty of Engineering, Free University Bozen-Bolzano, 39100 Bolzano, Italy

Abstract

Exploiting Radio Frequency Identification (RFID) technology in healthcare systems has become a common practice, as it ensures better patient care and safety. However, these systems are prone to security vulnerabilities that can jeopardize patient privacy and the secure management of patient credentials. This paper aims to advance state-of-the-art approaches by developing more secure and private RFID-based healthcare systems. More specifically, we propose a lightweight RFID protocol that safeguards patients’ privacy in the Internet of Healthcare Things (IoHT) domain by utilizing pseudonyms instead of real IDs, thereby ensuring secure communication between tags and readers. The proposed protocol has undergone rigorous testing and has been proven to be secure against various security attacks. This article provides a comprehensive overview of how RFID technology is used in healthcare systems and benchmarks the challenges faced by these systems. Then, it reviews the existing RFID authentication protocols proposed for IoT-based healthcare systems in terms of their strengths, challenges, and limitations. To overcome the limitations of existing approaches, we proposed a protocol that addresses the anonymity and traceability issues in existing schemes. Furthermore, we demonstrated that our proposed protocol had a lower computational cost than existing protocols and ensured better security. Finally, our proposed lightweight RFID protocol ensured strong security against known attacks and protected patient privacy using pseudonyms instead of real IDs.

Funder

Open Access Publishing Fund of the Free University of Bozen-Bolzano

Publisher

MDPI AG

Subject

Electrical and Electronic Engineering,Biochemistry,Instrumentation,Atomic and Molecular Physics, and Optics,Analytical Chemistry

Reference30 articles.

1. The Internet of Things (IoT): Applications, investments, and challenges for enterprises;Lee;Bus. Horizons,2015

2. An enhanced anonymous identity-based key agreement protocol for smart grid advanced metering infrastructure;Mahmood;Int. J. Commun. Syst.,2019

3. Efficient and Secure Anonymous Authentication with Location Privacy for IoT-Based WBANs;Vijayakumar;IEEE Trans. Ind. Inform.,2020

4. A provably secure content distribution framework for portable DRM systems;Mishra;J. Inf. Secur. Appl.,2021

5. URAP: A new ultra-lightweight RFID authentication protocol in passive RFID system;Gao;J. Supercomput.,2022

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