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...

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Main Authors: Kamran Ahmad Awan, Ikram Ud Din, Ahmad Almogren, Hisham Almajed
Format: Article
Language:English
Published: MDPI AG 2020-10-01
Series:Sensors
Subjects:
Online Access:https://www.mdpi.com/1424-8220/20/21/6174
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author Kamran Ahmad Awan
Ikram Ud Din
Ahmad Almogren
Hisham Almajed
author_facet Kamran Ahmad Awan
Ikram Ud Din
Ahmad Almogren
Hisham Almajed
author_sort Kamran Ahmad Awan
collection DOAJ
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.
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spelling doaj.art-6f1ab97bbaae46439e5beeccea69285f2023-11-20T19:06:27ZengMDPI AGSensors1424-82202020-10-012021617410.3390/s20216174AgriTrust—A Trust Management Approach for Smart Agriculture in Cloud-based Internet of Agriculture ThingsKamran Ahmad Awan0Ikram Ud Din1Ahmad Almogren2Hisham Almajed3Department of Information Technology, The University of Haripur, Haripur 22620, PakistanDepartment of Information Technology, The University of Haripur, Haripur 22620, PakistanDepartment of Computer Science, College of Computer and Information Sciences, King Saud University, Riyadh 11633, Saudi ArabiaDepartment of Computer Science, College of Computer and Information Sciences, King Saud University, Riyadh 11633, Saudi ArabiaInternet 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.https://www.mdpi.com/1424-8220/20/21/6174Internet of Agriculture Thingstrust managementprivacysmart irrigation systemurbanizationdigital innovation
spellingShingle Kamran Ahmad Awan
Ikram Ud Din
Ahmad Almogren
Hisham Almajed
AgriTrust—A Trust Management Approach for Smart Agriculture in Cloud-based Internet of Agriculture Things
Sensors
Internet of Agriculture Things
trust management
privacy
smart irrigation system
urbanization
digital innovation
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 Internet of Agriculture Things
trust management
privacy
smart irrigation system
urbanization
digital innovation
url https://www.mdpi.com/1424-8220/20/21/6174
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