Evidence map›Paper›PMID 33138295›Full record

ArticleSensors (Basel, Switzerland)2020

AgriTrust-A Trust Management Approach for Smart Agriculture in Cloud-based Internet of Agriculture Things.

Kamran Ahmad Awan, Ikram Ud Din, Ahmad Almogren, Hisham Almajed

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

4 authors.

Kamran Ahmad AwanDepartment of Information Technology, The University of Haripur, Haripur 22620, Pakistan.ORCID 0000-0002-0038-3772
Ikram Ud DinDepartment of Information Technology, The University of Haripur, Haripur 22620, Pakistan.ORCID 0000-0001-8896-547X
Ahmad AlmogrenDepartment of Computer Science, College of Computer and Information Sciences, King Saud University, Riyadh 11633, Saudi Arabia.ORCID 0000-0002-8253-9709
Hisham AlmajedDepartment of Computer Science, College of Computer and Information Sciences, King Saud University, Riyadh 11633, Saudi Arabia.ORCID 0000-0002-4556-1392

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Internet of Things (IoT) provides a diverse platform to automate things where smart agriculture is one of the most promising concepts in the field of Internet of Agriculture Things (IoAT). Due to the requirements of more processing power for computations and predictions, the concept of Cloud-based smart agriculture is proposed for autonomic systems. This is where digital innovation and technology helps to improve the quality of life in the area of urbanization expansion. For the integration of cloud in smart agriculture, the system is shown to have security and privacy challenges, and most significantly, the identification of malicious and compromised nodes along with a secure transmission of information between sensors, cloud, and base station (BS). The identification of malicious and compromised node among soil sensors communicating with the BS is a notable challenge in the BS to cloud communications. The trust management mechanism is proposed as one of the solutions providing a lightweight approach to identify these nodes. In this article, we have proposed a novel trust management mechanism to identify malicious and compromised nodes by utilizing trust parameters. The trust mechanism is an event-driven process that computes trust based on the pre-defined time interval and utilizes the previous trust degree to develop an absolute trust degree. The system also maintains the trust degree of a BS and cloud service providers using distinct approaches. We have also performed extensive simulations to evaluate the performance of the proposed mechanism against several potential attacks. In addition, this research helps to create friendlier environments and efficient agricultural productions for the migration of people to the cities.

Indexed as

digital innovationInternet of Agriculture Thingsprivacysmart irrigation systemtrust managementurbanization

Identifiers

PMID33138295
PMCPMC7662657

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.