Evidence map›Paper›PMID 33814966›Full record

ArticleMultimedia tools and applications2021

Towards an optimized security approach to IoT devices with confidential healthcare data exchange.

Andreou Andreas, Constandinos X Mavromoustakis, George Mastorakis, Dinh-Thuan Do, Jordi Mongay Batalla, Evangelos Pallis, Evangelos K Markakis

Open access · bronzeAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Multimedia tools and applications, 2021. 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
2.6field-weighted citation impact, top 9% 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, 36 citations in OpenAlex.

  1. 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

7 authors at 4 institutions in 4 countries.

Andreou AndreasDepartment of Computer Science Mobile Systems Laboratory (MoSys Lab), University of Nicosia and University of Nicosia Research Foundation, Nicosia, Cyprus.
Constandinos X MavromoustakisDepartment of Computer Science Mobile Systems Laboratory (MoSys Lab), University of Nicosia and University of Nicosia Research Foundation, Nicosia, Cyprus.
George MastorakisDepartment of Management Science and Technology, Hellenic Mediterranean University, 72100 Agios Nikolaos, Crete Greece.
Dinh-Thuan DoFaculty of Electronics Technology, Industrial University of Ho Chi Minh City (IUH), Ho Chi Minh City, Vietnam.
Jordi Mongay BatallaWarsaw University of Technology, Warsaw, Poland.
Evangelos PallisDepartment of Electrical and Computer Engineering, Hellenic Mediterranean University, Heraklion, Crete Greece.
Evangelos K MarkakisDepartment of Electrical and Computer Engineering, Hellenic Mediterranean University, Heraklion, Crete Greece.
Hellenic Mediterranean University · GRUniversity of Nicosia · CYIndustrial University of Ho Chi Minh City · VNWarsaw University of Technology · PL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Reliable data exchange and efficient image transfer are currently significant research challenges in health care systems. To incentivize data exchange within the Internet of Things (IoT) framework, we need to ensure data sovereignty by facilitating secure data exchange between trusted parties. The security and reliability of data-sharing infrastructure require a community of trust. Therefore, this paper introduces an encryption frame based on data fragmentation. It also presents a novel, deterministic grey-scale optical encryption scheme based on fundamental mathematics. The objective is to use encryption as the underlying measure to make the data unintelligible while exploiting fragmentation to break down sensitive relationships between attributes. Thus, sensitive data distributed in separate data repositories for decryption and reconstruction using interpolation by knowing polynomial coefficients and personal values from the DBMS Database Management System. Aims also to ensure the secure acquisition of diagnostic images, micrography, and all types of medical imagery based on probabilistic approaches. Visual sharing of confidential medical imageries based on implementing a novel method, where transparencies ≤

Indexed as

Cloud computingConfidentialityData exchangeEncryptionFragmentationIoT internet of thingsVisual secret sharing

Identifiers

PMID33814966
PMCPMC7996113
OpenAlexW3146848664

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.