Evidence map›Paper›PMID 41516747›Full record

ArticleSensors (Basel, Switzerland)2026

A Secure and Efficient Authentication Scheme with Privacy Protection for Internet of Medical Things.

Feihong Xu, Jianbo Wu, Qing An, Rahman Ziaur

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Feihong XuHubei Engineering Research Center for BDS-Cloud High-Precision Deformation Monitoring, School of Artificial Intelligence, Wuchang University of Technology, Wuhan 430223, China.
Jianbo WuHubei Engineering Research Center for BDS-Cloud High-Precision Deformation Monitoring, School of Artificial Intelligence, Wuchang University of Technology, Wuhan 430223, China.
Qing AnHubei Engineering Research Center for BDS-Cloud High-Precision Deformation Monitoring, School of Artificial Intelligence, Wuchang University of Technology, Wuhan 430223, China.
Rahman ZiaurDepartment of Information and Communication Technology, Mawlana Bhashani Science and Technology University, Tangail 1902, Bangladesh.ORCID 0000-0002-7759-3428

Funding

Hubei Engineering Research Center for BDS-Cloud High-Precision Deformation Monitoring Open Funding HBBDGJ202507YNational Natural Science Foundation of China 62377037
6 · The paper itself

Abstract

The Internet of Medical Things represents a pivotal application of Internet of Things technology in Healthcare 4.0, offering substantial practical benefits in enhancing medical quality, reducing costs, and minimizing errors. In history, researchers have proposed numerous privacy-preserving authentication schemes to safeguard Internet of Medical Things applications. Nevertheless, due to design shortcomings, existing solutions still encounter significant security and performance challenges, rendering them impractical for real-world use. To resolve the issue, this work introduces a novel practical Internet of Medical Things-based smart healthcare system, leveraging a pairing-free certificateless signature scheme and hash-based message authentication code. Through formal security proofs under standard cryptographic assumptions, and performance analysis, our scheme demonstrates enhanced security while maintaining desirable computational and communication efficiency.

Indexed as

Computer SecurityInternet of ThingsAlgorithmsConfidentialityHumansInternetPrivacyauthenticationbiomedical sensordata securityInternet of Medical Thingsprivacy-preserving

Identifiers

PMID41516747
PMCPMC12788304

What OpenQuestion holds

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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.