Evidence map›Paper›PMID 35282404›Full record

ArticleMultimedia tools and applications2022

Neural perceptron & strict lossless secret sharing oriented cryptographic science: fostering patients' security in the "new normal" COVID-19 E-Health.

Joydeep Dey, Anirban Bhowmik, Sunil Karforma

Open access · bronzeAbstract read
In one paragraph

Article in Multimedia tools and applications, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.9field-weighted citation impact, top 29% 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

1 citing paper in PubMed, 6 citations in OpenAlex.

  1. TinyML-Based Lightweight AI Healthcare Mobile Chatbot Deployment.Journal of multidisciplinary healthcare · 2024
    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

3 authors at 1 institution in 1 country.

Joydeep DeyDepartment of Computer Science, M.U.C. Women's College, Burdwan, India.
Anirban BhowmikDepartment of Computer Science, M.U.C. Women's College, Burdwan, India.
Sunil KarformaDepartment of Computer Science, The University of Burdwan, Burdwan, India.
University of Burdwan · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Patients' data security is an open challenge on any telemedicine system. The challenge has been extended enough in this unprecedented corona virus led pandemic. COVID-19 has brought abrupt adaptations in medical sciences. To reduce corona virus transmission, quarantine yourself and opting for online services is mostly apt even during "New Normal" second wave of COVID-19. The emergence of telemedicine is a significant contribution in the medical sciences. Relevant online security and challenges are the contemporary and relevant challenges in COVID-19 E-Health. The objective of this proposed technique is to reinforce the technical safeguards to the electronic health system against the tricksters. Perceptron based session key and modified logistic map based intermediate key were proposed. A strict lossless secret sharing has been proposed to protect patients' clinical reports and data. Participation of all the recipients is bare essential in regenerating the original report. Simple mathematical operations were carried out to develop the secret shares. Electing the head of the recipients has also been included here. Different secret shares were encapsulated with the proposed frame structure. The chaotic sequences in the ranges of

Indexed as

COVID-19Intermediate keyLogistic mapLossless secret sharingSession key

Identifiers

PMID35282404
PMCPMC8900109
OpenAlexW4220936480

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.