Evidence map›Paper›PMID 32867181›Full record

ArticleSensors (Basel, Switzerland)2020

A Novel Lightweight Authentication Scheme for RFID-Based Healthcare Systems.

Feng Zhu, Peng Li, He Xu, Ruchuan Wang

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2020. 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. Review
  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

4 authors.

Feng ZhuSchool of Computer Science, Nanjing University of Posts and Telecommunications, Nanjing 210023, China.ORCID 0000-0002-7129-1082
Peng LiSchool of Computer Science, Nanjing University of Posts and Telecommunications, Nanjing 210023, China.ORCID 0000-0001-5026-5347
He XuSchool of Computer Science, Nanjing University of Posts and Telecommunications, Nanjing 210023, China.ORCID 0000-0003-2809-2237
Ruchuan WangSchool of Computer Science, Nanjing University of Posts and Telecommunications, Nanjing 210023, China.

Funding

Major Natural Science Research Projects in Colleges and Universities of Jiangsu Province 18KJA520008Nanjing University of Posts and Telecommunications NY216016National Natural Science Foundation of China 61602261National Natural Science Foundation of China 61672296National Natural Science Foundation of China 61872196National Natural Science Foundation of China 61902196Scientific and Technological Support Project of Jiangsu Province BE2017166Scientific and Technological Support Project of Jiangsu Province BE2019740Six Talent Peaks Project of Jiangsu Province RJFW-111
6 · The paper itself

Abstract

The Internet of Things (IoT) has been integrated into legacy healthcare systems for the purpose of improving healthcare processes. As one of the key technologies of IoT, radio frequency identification (RFID) technology has been applied to offer services like patient monitoring, drug administration, and medical asset tracking. However, people have concerns about the security and privacy of RFID-based healthcare systems, which require a proper solution. To solve the problem, recently in 2019, Fan et al. proposed a lightweight RFID authentication scheme in the IEEE Network. They claimed that their scheme can resist various attacks in RFID systems with low implementation cost, and thus is suitable for RFID-based healthcare systems. In this article, our contributions mainly consist of two parts. First, we analyze the security of Fan et al.'s scheme and find out its security vulnerabilities. Second, we propose a novel lightweight authentication scheme to overcome these security weaknesses. The security analysis shows that our scheme can satisfy the necessary security requirements. Besides, the performance evaluation demonstrates that our scheme is of low cost. Thus, our scheme is well-suited for practical RFID-based healthcare systems.

Indexed as

Computer SecurityRadio Frequency Identification DeviceTelemedicineConfidentialityDelivery of Health CareHumansInternet of ThingsPrivacyauthenticationhealthcare systemslightweightradio frequency identificationsecurity

Identifiers

PMID32867181
PMCPMC7506697

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

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.