Evidence map›Paper›PMID 34721709›Full record

ArticleJournal of ambient intelligence and humanized computing2023

Metaheuristic secured transmission in Telecare Medical Information System (TMIS) in the face of post-COVID-19.

Joydeep Dey, Arindam Sarkar, Sunil Karforma, Bappaditya Chowdhury

Open access · bronzeAbstract read
In one paragraph

Article in Journal of ambient intelligence and humanized computing, 2023. 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
0.3field-weighted citation impact, top 45% of its field
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, 5 citations in OpenAlex.

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

4 authors at 3 institutions in 1 country.

Joydeep DeyDepartment of Computer Science, M.U.C. Women's College, Burdwan, West Bengal India.
Arindam SarkarDepartment of Computer Science and Electronics, Ramakrishna Mission Vidyamandira, Belur, West Bengal India.
Sunil KarformaDepartment of Computer Science, The University of Burdwan, Burdwan, West Bengal India.
Bappaditya ChowdhuryAMRI Hospital, Salt Lake, Kolkata, India.
AMRI Hospitals · INRamakrishna Mission Vidyamandira · INUniversity of Burdwan · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The outbreak of novel corona virus had led the entire world to make severe changes. A secured healthcare data transmission has been proposed through Telecare Medical Information System (TMIS) based on metaheuristic salp swarm. Patients need proper medical remote treatments in this Post-COVID-19 time from their quarantines. Secured transmission of medical data is a significant challenge of digitally overwhelmed environment. The objective is to impart the patients' data by encryption with confidentiality and integrity. Eavesdroppers can carry sniffing and spoofing in order to deluge the data. In this paper, a novel scheme on metaheuristic salp swarm based intelligence has been sculptured to encrypt electrocardiograms (ECG) for data privacy. Metaheuristic approach has been blended in cryptographic engineering to address the TMIS security issues. Session key has been derived from the weight vector of the fittest salp from the salp population. The exploration and exploitation control the movements of the salps. The proposed technique baffles the eavesdroppers by the key strength and other robustness factors. The results, thus obtained, were compared with some existing classical techniques with benchmark results. The proposed MSE and RMSE were 28,967.85, and 81.17 respectively. The time needed to decode 128 bits proposed session key was 8.66 × 10

Indexed as

COVID-19ECGSalp swarmSession keyTelecare Medical Information System (TMIS)

Identifiers

PMID34721709
PMCPMC8536920
OpenAlexW3210349958

What OpenQuestion holds

Textmetadata
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 OpenQuestion graph.