Evidence map›Paper›PMID 41977806›Full record

ArticleSensors (Basel, Switzerland)2026

A Kyber-Based Lightweight Cloud-Assisted Authentication Scheme for Medical IoT.

He Yan, Zhenyu Wang, Liuming Lin, Jing Sun, Shuanggen Liu

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

5 authors.

He YanSchool of Cyberspace Security, Xi'an University of Posts and Telecommunications, Xi'an 710121, China.
Zhenyu WangSchool of Cyberspace Security, Xi'an University of Posts and Telecommunications, Xi'an 710121, China.ORCID 0009-0003-7101-8048
Liuming LinSchool of Cyberspace Security, Xi'an University of Posts and Telecommunications, Xi'an 710121, China.ORCID 0009-0004-2505-2621
Jing SunSchool of Cyberspace Security, Xi'an University of Posts and Telecommunications, Xi'an 710121, China.
Shuanggen LiuSchool of Cyberspace Security, Xi'an University of Posts and Telecommunications, Xi'an 710121, China.ORCID 0000-0002-8188-2820

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The Medical Internet of Things (MIoT) has promoted smart healthcare through the deep integration of wearable devices, wireless communication, and cloud services. However, this framework faces security risks, as attackers may exploit public channels to impersonate legitimate devices or services and steal sensitive data. Therefore, establishing authentication between wearable devices and servers prior to data transmission is crucial. Existing schemes suffer from two critical drawbacks: vulnerability to quantum attacks and excessively high communication overhead, highlighting the need for improved solutions. The authors of this paper present a multi-factor identity authentication protocol to achieve post-quantum security and privacy protection. The scheme integrates lattice-based Kyber key encapsulation and a fuzzy commitment mechanism to secure biological templates and enable post-quantum key agreement. Additionally, hash functions and lightweight error correction codes are employed to reduce terminal communication overhead. The security of the scheme is rigorously proved in the Real-or-Random model, and the analysis confirms that the scheme satisfies common security requirements for wireless networks. The proposed scheme is also compared with existing schemes, and the results demonstrate that it achieves a balance between security and overhead.

Indexed as

fuzzy commitmentKyber algorithmlightweight authenticationmedical Internet of Things (MIoT)post-quantum cryptography (PQC)

Identifiers

PMID41977806
PMCPMC13074253

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.