Evidence map›Paper›PMID 41266478›Full record

ArticleScientific reports2025

Lightweight signcryption scheme for Securing wearable sensor observed health data sharing in internet of medical things paradigm.

Taher M Ghazal, Mohammad Kamrul Hasan, Sallam O F Khairy, Umi Asma Mokhtar, Shayla Islam, Rashid A Saeed, Nada Ahmed, Mustafa Abdullah

Erratum issuedAbstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. 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

5 · Who and what money

Authors and funding

8 authors.

Taher M GhazalFaculty of Computing and IT, Sohar University, Sohar, 311, Oman.
Mohammad Kamrul HasanFaculty of Information Science and Technology, Universiti Kebangsaan Malaysia (UKM), Bangi, Malaysia, 43600. mkhasan@ukm.edu.my.
Sallam O F KhairyDepartment of Information Systems, College of Economics, Management and Information Systems, University of Nizwa, Birkat Al Mouz, 616, Nizwa, Oman.
Umi Asma MokhtarFaculty of Information Science and Technology, Universiti Kebangsaan Malaysia (UKM), Bangi, Malaysia, 43600.
Shayla IslamInstitute of Computer Science and Digital Innovation, UCSI University, Kuala Lumpur, 56000, Malaysia. shayla@ucsiuniversity.edu.my.
Rashid A SaeedCollege of Commerce and Business , Lusail university, Jabal Thuaileb, P.O. Box 9717, Lusail, Qatar.
Nada AhmedDepartment of Computer Sciences, College of Computer and Information Science, Princess Nourah bint Abdulrahman University, P.O. Box 84428, Riyadh, 11671, Saudi Arabia.
Mustafa AbdullahElectric Vehicles Engineering Department, Faculty of Engineering, Hourani Center for Applied Scientific Research, Al-Ahliyya Amman University, Amman, Jordan.

Funding

Universiti Kebangsaan Malaysia DIP 2025-033
6 · The paper itself

Abstract

The Internet of Medical Things (IoMT) plays a crucial role in enabling precision diagnosis and optimal recommendations for patients monitored remotely. However, conventional encryption–signature mechanisms introduce significant computational and communication overhead, making them unsuitable for resource-constrained IoMT devices that require secure and real-time transmission of health vitals. To address this gap, this article proposes a lightweight signcryption scheme tailored explicitly for IoMT data security. The novelty of the scheme lies in employing a triple-truncated DES-based signcryption with non-linear shared integrity verification, which simultaneously ensures confidentiality, authenticity, and resistance against replay and forgery attacks while reducing complexity. The operation increasingly adheres to critical preparation, signing, and distribution protocols even for fine-grained time periods, with truncation reaching succinct key pairs with low overhead. A lightweight CNN-based verification module is used to authenticate the sequence and handle truncation without introducing extra complexity, as required for IoMT efficiency. Experimental results demonstrate that the proposed approach improves detection accuracy by 14.12%, reduces service failures by 13.67%, and achieves computational time savings compared to baseline schemes. In all, the scheme provides an IoMT-optimized, low-complexity, and secure solution for protecting sensitive medical information against attacks in adversarial environments.

Indexed as

Computer SecurityInformation DisseminationInternet of ThingsWearable Electronic DevicesAlgorithmsConfidentialityDigital HealthHumansCNNData integrityIoMTKey managementSecure data sharingSigncryption

Identifiers

PMID41266478
PMCPMC12635324

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

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 Socratic graph.