Evidence map›Paper›PMID 30650612›Full record

ArticleSensors (Basel, Switzerland)2019

A Decentralized Privacy-Preserving Healthcare Blockchain for IoT.

Ashutosh Dhar Dwivedi, Gautam Srivastava, Shalini Dhar, Rajani Singh

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 86 papers, 7 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
86citing papers in PubMed, 7 pooled it
–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

86 citing papers in PubMed, 7 syntheses or guidelines pooled it.

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26 more citing papers are in PubMed but not listed here.

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.

Ashutosh Dhar DwivediInstitute of Computer Science, Polish Academy of Sciences, 01-248 Warsaw, Poland. ashudhar7@gmail.com.ORCID 0000-0001-8010-6275
Gautam SrivastavaDepartment of Mathematics and Computer Science, Brandon University, Brandon, MB R7A 6A9, Canada. srivastavag@brandonu.ca.ORCID 0000-0001-9851-4103
Shalini DharDepartment of Electronics and Communication, University of Allahabad, Allahabad 211002, India. dhar.shalini@rediffmail.com.ORCID 0000-0003-2173-1999
Rajani SinghInstitute of Computer Science, Polish Academy of Sciences, 01-248 Warsaw, Poland. rajanibabu7@gmail.com.ORCID 0000-0002-9997-5830

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Medical care has become one of the most indispensable parts of human lives, leading to a dramatic increase in medical big data. To streamline the diagnosis and treatment process, healthcare professionals are now adopting Internet of Things (IoT)-based wearable technology. Recent years have witnessed billions of sensors, devices, and vehicles being connected through the Internet. One such technology-remote patient monitoring-is common nowadays for the treatment and care of patients. However, these technologies also pose grave privacy risks and security concerns about the data transfer and the logging of data transactions. These security and privacy problems of medical data could result from a delay in treatment progress, even endangering the patient's life. We propose the use of a blockchain to provide secure management and analysis of healthcare big data. However, blockchains are computationally expensive, demand high bandwidth and extra computational power, and are therefore not completely suitable for most resource-constrained IoT devices meant for smart cities. In this work, we try to resolve the above-mentioned issues of using blockchain with IoT devices. We propose a novel framework of modified blockchain models suitable for IoT devices that rely on their distributed nature and other additional privacy and security properties of the network. These additional privacy and security properties in our model are based on advanced cryptographic primitives. The solutions given here make IoT application data and transactions more secure and anonymous over a blockchain-based network.

Indexed as

Big DataWearable Electronic DevicesComputer SecurityDelivery of Health CareHumansInternetMonitoring, Physiologicauthenticationblockchaindata preservationEthereumInternet of Thingskey managementmedical big dataring signaturesmart citiessmart contract

Identifiers

PMID30650612
PMCPMC6359727

What OpenQuestion holds

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LicenceCC BY
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.