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AgriTrust—A Trust Management Approach for Smart Agriculture in Cloud-based Internet of Agriculture Things
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 s...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7662657/ https://www.ncbi.nlm.nih.gov/pubmed/33138295 http://dx.doi.org/10.3390/s20216174 |
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author | Awan, Kamran Ahmad Ud Din, Ikram Almogren, Ahmad Almajed, Hisham |
author_facet | Awan, Kamran Ahmad Ud Din, Ikram Almogren, Ahmad Almajed, Hisham |
author_sort | Awan, Kamran Ahmad |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-7662657 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-76626572020-11-14 AgriTrust—A Trust Management Approach for Smart Agriculture in Cloud-based Internet of Agriculture Things Awan, Kamran Ahmad Ud Din, Ikram Almogren, Ahmad Almajed, Hisham Sensors (Basel) Article 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. MDPI 2020-10-29 /pmc/articles/PMC7662657/ /pubmed/33138295 http://dx.doi.org/10.3390/s20216174 Text en © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Awan, Kamran Ahmad Ud Din, Ikram Almogren, Ahmad Almajed, Hisham AgriTrust—A Trust Management Approach for Smart Agriculture in Cloud-based Internet of Agriculture Things |
title | AgriTrust—A Trust Management Approach for Smart Agriculture in Cloud-based Internet of Agriculture Things |
title_full | AgriTrust—A Trust Management Approach for Smart Agriculture in Cloud-based Internet of Agriculture Things |
title_fullStr | AgriTrust—A Trust Management Approach for Smart Agriculture in Cloud-based Internet of Agriculture Things |
title_full_unstemmed | AgriTrust—A Trust Management Approach for Smart Agriculture in Cloud-based Internet of Agriculture Things |
title_short | AgriTrust—A Trust Management Approach for Smart Agriculture in Cloud-based Internet of Agriculture Things |
title_sort | agritrust—a trust management approach for smart agriculture in cloud-based internet of agriculture things |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7662657/ https://www.ncbi.nlm.nih.gov/pubmed/33138295 http://dx.doi.org/10.3390/s20216174 |
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