Department of Information Technology, The University of Haripur, Haripur 22620, Pakistan.
Department of Computer Science, College of Computer and Information Sciences, King Saud University, Riyadh 11633, Saudi Arabia.
Sensors (Basel). 2020 Oct 29;20(21):6174. doi: 10.3390/s20216174.
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.
物联网（IoT）提供了一个多样化的平台，可实现自动化，其中智能农业是物联网农业领域（IoAT）中最有前途的概念之一。由于计算和预测需要更高的处理能力，因此提出了基于云的智能农业概念，以实现自主系统。这是数字创新和技术帮助提高城市化扩张地区生活质量的地方。为了在智能农业中集成云，该系统显示出存在安全和隐私挑战，最重要的是，需要识别恶意和受损节点，以及在传感器、云与基站（BS）之间安全传输信息。在 BS 与土壤传感器进行通信时识别恶意和受损节点是 BS 到云通信中的一个显著挑战。信任管理机制被提出作为解决方案之一，提供了一种轻量级的方法来识别这些节点。在本文中，我们提出了一种新的信任管理机制，通过利用信任参数来识别恶意和受损节点。信任机制是一个事件驱动的过程，根据预定义的时间间隔计算信任，并利用以前的信任度来建立绝对信任度。该系统还使用不同的方法来维护 BS 和云服务提供商的信任度。我们还进行了广泛的模拟，以评估所提出的机制对几种潜在攻击的性能。此外，这项研究有助于为人们迁移到城市创造更友好的环境和高效的农业生产。
