Evidence map›Paper›PMID 42289541›Full record

ArticleScientific reports2026

Designing a secure anonymous group-oriented key agreement protocol for the internet of medical things.

Masoumeh Safkhani, Carmen Camara, Nasour Bagheri, Pedro Peris-Lopez, Alireza Javadi

Abstract read
In one paragraph

Article in Scientific reports, 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
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0citing papers in PubMed
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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

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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.

Masoumeh SafkhaniDepartment of Software Engineering, Faculty of Computer Engineering, Shahid Rajaee Teacher Training University, Tehran, 16788-15811, Islamic Republic of Iran. Safkhani@sru.ac.ir.
Carmen CamaraComputer Science Department, Carlos III University of Madrid, Madrid, Spain.
Nasour BagheriCPS² Lab, Department of Communication, Faculty of Electrical Engineering, Shahid Rajaee Teacher Training University, Tehran, 16788-15811, Islamic Republic of Iran. Nbagheri@sru.ac.ir.
Pedro Peris-LopezComputer Science Department, Carlos III University of Madrid, Madrid, Spain.
Alireza JavadiDepartment of Computer Science and Information Technology, Institute for Advanced Studies in Basic Sciences (IASBS), Zanjan, 45137-66731, Iran.

Funding

Shahid Rajaee Teacher Training University 1404/385773the Spanish Ministry of Science, Innovation and Universities PID2022-140126OB-I00
6 · The paper itself

Abstract

Telemonitoring in the Internet of Medical Things (IoMT) requires secure and efficient authentication and key agreement protocols to ensure timely access to sensitive resources-such as patients' medical records-by authorized groups of physicians. Recently, Chen and Lee proposed an anonymous, group-oriented, time-bound key agreement protocol based on extended chaotic maps, claiming to achieve a high level of security. In this article, we are the first, to the best of our knowledge, to rigorously examine the actual security of this scheme by revealing critical vulnerabilities affecting seven of the eight stated security objectives in its design. Specifically, we demonstrate that the protocol is susceptible to replay, traceability, information disclosure, and impersonation attacks. As a consequence of the impersonation attack, when group members attempt to access a legitimate service provider, an adversary can successfully redirect them to a counterfeit one. Such an attack could have serious implications for patient care, as physicians might receive incorrect medical records purportedly associated with their patients. We implemented the Chen-Lee's protocol on a Raspberry Pi-based testbed and demonstrated several practical attacks, confirming its weaknesses in real-world scenarios. To mitigate these vulnerabilities, we propose modifications that address the identified flaws while preserving the overall structure of the original protocol. The communications and computation overhead of the proposed protocol is approximately 4% higher than that of the Chen-Lee protocol.

Indexed as

Computer SecurityInternet of ThingsAlgorithmsConfidentialityHumansInternetAnonymous authenticationChaotic-map-based cryptographyGroup-oriented authenticationImpersonation attacksInternet of medical things (IoMT)Key agreement protocolsSecurity analysis

Identifiers

PMID42289541
PMCPMC13527142

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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.