Evidence map›Paper›PMID 34336174›Full record

ArticleJournal of healthcare engineering2021

Secure Patient Authentication Framework in the Healthcare System Using Wireless Medical Sensor Networks.

Saeed Ullah Jan, Sikandar Ali, Irshad Ahmed Abbasi, Mogeeb A A Mosleh, Ahmed Alsanad, Hizbullah Khattak

Abstract read
In one paragraph

Article in Journal of healthcare engineering, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

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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

6 authors.

Saeed Ullah JanDepartment of Computer Science & IT, University of Malakand, Chakdara 18800, Pakistan.ORCID 0000-0003-1268-0325
Sikandar AliDepartment of Computer Science and Technology, China University of Petroleum-Beijing, Beijing 102249, China.ORCID 0000-0002-2753-8615
Irshad Ahmed AbbasiDepartment of Computer Science, Faculty of Science and Arts at Belgarn, University of Bisha, Sabt Al-Alaya 61985, Saudi Arabia.ORCID 0000-0003-1813-1415
Mogeeb A A MoslehFaculty of Engineering and Information Technology, Taiz University, Taiz 6803, Yemen.ORCID 0000-0001-5094-5561
Ahmed AlsanadSTC's Artificial Intelligence Chair, Department of Information Systems, College of Computer and Information Sciences, King Saud University, Riyadh 11543, Saudi Arabia.ORCID 0000-0003-1702-8643
Hizbullah KhattakDepartment of Information Technology, Hazara University Mansehra, Mansehra 21130, Khyber Pakhtunkhwa, Pakistan.ORCID 0000-0001-7847-5127

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Biosensor is a means to transmit some physical phenomena, like body temperature, pulse, respiratory rate, electroencephalogram (EEG), electrocardiogram (ECG), and blood pressure. Such transmission is performed via Wireless Medical Sensor Network (WMSN) while diagnosing patients remotely through Internet-of-Medical-Things (IoMT). The sensitive data transmitted through WMSN from IoMT over an insecure channel is vulnerable to several threats and needs proper attention to be secured from adversaries. In contrast to addressing the security of all associated entities involving patient monitoring in the healthcare system or ensuring the integrity, authorization, and nonrepudiation of information over the communication line, no one can guarantee its security without a robust authentication protocol. Therefore, we have proposed a lightweight and robust authentication scheme for the network-enabled healthcare devices (IoMT) that mitigate all the identified weaknesses posed in the recent literature. The proposed protocol's security has been analyzed formally using BAN logic and ProVerif2.02 and informally using pragmatic illustration. Simultaneously, at the end of the paper, the performance analysis result shows a delicate balance of security with performance that is often missing in the current protocols.

Indexed as

Computer SecurityInternet of ThingsComputer Communication NetworksConfidentialityDelivery of Health CareHumans

Identifiers

PMID34336174
PMCPMC8324348

What OpenQuestion holds

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LicenceCC BY
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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 OpenQuestion graph.