Evidence map›Paper›PMID 37420689›Full record

ArticleSensors (Basel, Switzerland)2023

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

Muhammad Ayaz Khan, Subhan Ullah, Tahir Ahmad, Khwaja Jawad, Attaullah Buriro

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Muhammad Ayaz KhanDepartment of Computer Science, Air University, Islamabad 44000, Pakistan.
Subhan UllahFaculty of Computer Science, National University of Computer and Emerging Sciences (NUCES-FAST), Islamabad 44000, Pakistan.ORCID 0000-0002-3925-621X
Tahir AhmadCenter for Cybersecurity, Brunno Kessler Foundation, 38123 Trento, Italy.ORCID 0000-0001-8105-6791
Khwaja JawadDepartment of Computer Science, Iqra National University, Swat 19200, Pakistan.
Attaullah BuriroFaculty of Engineering, Free University Bozen-Bolzano, 39100 Bolzano, Italy.ORCID 0000-0003-2723-2410

Funding

Free University of Bozen-Bolzano xxx
6 · The paper itself

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.

Indexed as

PrivacyRadio Frequency Identification DeviceAlgorithmsComputer SecurityDelivery of Health CareHumansReview Literature as TopicInternet of Healthcare ThingsIoT securityRFID authenticationRFID protocol

Identifiers

PMID37420689
PMCPMC10301221

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.