Evidence map›Paper›PMID 40363332›Full record

ArticleSensors (Basel, Switzerland)2025

Lightweight and Efficient Authentication and Key Distribution Scheme for Cloud-Assisted IoT for Telemedicine.

Hyang Jin Lee, Sangjin Kook, Keunok Kim, Jihyeon Ryu, Hakjun Lee, Youngsook Lee, Dongho Won

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2025. 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

7 authors.

Hyang Jin LeeDepartment of Electrical and Computer Engineering, Sungkyunkwan University, Suwon-si 16419, Republic of Korea.
Sangjin KookDepartment of Electrical and Computer Engineering, Sungkyunkwan University, Suwon-si 16419, Republic of Korea.
Keunok KimDepartment of Electrical and Computer Engineering, Sungkyunkwan University, Suwon-si 16419, Republic of Korea.ORCID 0000-0003-2403-3862
Jihyeon RyuSchool of Computer and Information Engineering, Kwangwoon University, Seoul-si 01897, Republic of Korea.ORCID 0000-0001-8124-3853
Hakjun LeeSchool of Electronic Engineering, Kumoh National Institute of Technology, Gumi-si 39177, Republic of Korea.ORCID 0000-0002-5777-4256
Youngsook LeeDepartment of Computer, Howon University, 64 Impi-myeon, Howondae 3-gil, Gunsan-si 54058, Republic of Korea.
Dongho WonDepartment of Electrical and Computer Engineering, Sungkyunkwan University, Suwon-si 16419, Republic of Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Medical Internet of Things (IoT) systems are crucial in monitoring the health status of patients. Recently, telemedicine services that manage patients remotely by receiving real-time health information from IoT devices attached to or carried by them have experienced significant growth. A primary concern in medical IoT services is ensuring the security of transmitted information and protecting patient privacy. To address these challenges, various authentication schemes have been proposed. We analyze the authentication scheme by Wang et al. and identified several limitations. Specifically, an attacker can exploit information stored in an IoT device to generate an illegitimate session key. Additionally, despite using a cloud center, the scheme lacks efficiency. To overcome these limitations, we propose an authentication and key distribution scheme that incorporates a physically unclonable function (PUF) and public-key computation. To enhance efficiency, computationally intensive public-key operations are performed exclusively in the cloud center. Furthermore, our scheme addresses privacy concerns by employing a temporary ID for IoT devices used to identify patients. We validate the security of our approach using the formal security analysis tool ProVerif.

Indexed as

Cloud ComputingComputer SecurityInternet of ThingsTelemedicineAlgorithmsConfidentialityHumanscloud-assisted IoTIoT for telemedicinelightweight and efficient authentication

Identifiers

PMID40363332
PMCPMC12074376

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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.