Evidence map›Paper›PMID 36164421›Full record

ArticleComputational intelligence and neuroscience2022

Trust-Based Smart Contract for Automated Agent to Agent Communication.

Halima Mhamdi, Ben Othman Soufiene, Ahmed Zouinkhi, Obaid Ali, Hedi Sakli

Abstract read
In one paragraph

Article in Computational intelligence and neuroscience, 2022. 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
–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

0 citing papers in PubMed.

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

5 authors.

Halima MhamdiMACS Research Laboratory, National Engineering School of Gabés, Gabés University, Gabes 6029, Tunisia.ORCID https://orcid.org/0000-0001-8354-4051
Ben Othman SoufienePRINCE Laboratory Research, ISITcom, Hammam Sousse, University of Sousse, Sousse, Tunisia.ORCID https://orcid.org/0000-0001-8856-9450
Ahmed ZouinkhiMACS Research Laboratory, National Engineering School of Gabés, Gabés University, Gabes 6029, Tunisia.ORCID https://orcid.org/0000-0002-1844-975X
Obaid AliIbb University, Department of Computer Science & Information Technology, Tudun Wada, Yemen.ORCID https://orcid.org/0000-0002-9070-2385
Hedi SakliMACS Research Laboratory, National Engineering School of Gabés, Gabés University, Gabes 6029, Tunisia.ORCID https://orcid.org/0000-0002-7702-6781

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Blockchain technology is now regarded as one of the most interesting and possibly innovative technologies. It enables information to be stored and exchanged securely and transparently without the need for a centralized authority to regulate it. Some of the primary benefits of this technology are the atomicity of the stored data. Given its features, this technology has the potential to provide answers to challenges encountered in a very sensitive sector, namely, Internet of Vehicles (IoV). In IoV, vehicles and service providers autonomously capture and produce data without human intervention. This exchanged data must meet certain criteria such as decentralization, automation, security, and stakeholder trust management. To overcome these challenges, the integration of blockchain technology and multi-agent systems is a key solution. Based on smart contracts, the proposed solution consists of exploiting role-based access control (RBAC) and attribute-based access control (ABAC) techniques. This solution removes the central authority (CA) to reduce maintenance costs and eliminate legacy threats from centralized systems. The results, obtained from consumption costs, show that the developed platform is characterized by security, availability, and privacy.

Indexed as

BlockchainTrustAutomationCommunicationHumansTechnology

Identifiers

PMID36164421
PMCPMC9509257

What OpenQuestion holds

Textmetadata
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.