Evidence map›Paper›PMID 36932131›Full record

ArticleScientific reports2023

Blockchain enabled data security in vehicular networks.

Naseem Us Sehar, Osman Khalid, Imran Ali Khan, Faisal Rehman, Muhammad A B Fayyaz, Ali R Ansari, Raheel Nawaz

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Article in Scientific reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 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

7 authors.

Naseem Us Sehar *COMSATS University Islamabad, Abbottabad Campus, Abbottabad, Pakistan.
Osman Khalid *COMSATS University Islamabad, Abbottabad Campus, Abbottabad, Pakistan.
Imran Ali Khan *COMSATS University Islamabad, Abbottabad Campus, Abbottabad, Pakistan.
Faisal Rehman *COMSATS University Islamabad, Abbottabad Campus, Abbottabad, Pakistan.
Muhammad A B FayyazOTEHM, Manchester Metropolitan University, Manchester, UK. m.fayyaz@mmu.ac.uk.
Ali R AnsariDepartment of Mathematics and Natural Sciences, Gulf University for Science and Technology, Mubarak Al-Abdullah, Kuwait.
Raheel NawazPro Vice Chancellor, Staffordshire University, Stoke-On-Trent, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Recently, researchers have applied blockchain technology in vehicular networks to take benefit of its security features, such as confidentiality, authenticity, immutability, integrity, and non-repudiation. The resource-intensive nature of the blockchain consensus algorithm makes it a challenge to integrate it with vehicular networks due to the time-sensitive message dissemination requirements. Moreover, most of the researchers have used the Proof-of-Work consensus algorithm, or its variant to add a block to a blockchain, which is a highly resource-intensive process with greater latency. In this paper, we propose a consensus algorithm for vehicular networks named as Vehicular network Based Consensus Algorithm (VBCA) to ensure data security across the network using blockchain that maintains a secured pool of confirmed messages exchanged in the network. The proposed scheme, based on a consortium blockchain, reduces average transaction latency, and increases the number of confirmed transactions in a decentralized manner, without compromising the integrity and security of data. The simulation results show improved performance in terms of confirmed transactions, transaction latency, number of blocks, and block creation time.

Identifiers

PMID36932131
PMCPMC10023690

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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.