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

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.

A Low-Cost Platform for Environmental Smart Farming Monitoring System Based on IoT and UAVs

“…In recent years of the Fourth Industrial Revolution (4IR), researchers, engineers, an IT specialists are striving to participate in employing advanced technology to achieve better life for our planet, as Figure 1 shows [11,12]. One of those pillars of 4IR is IoT, whic is considered as the fuel of the 4IR since it contributes effectively by linking trillions o objects and sensors, all of which generate real-time data.…”

Left-Right-Front Caching Strategy for Vehicular Networks in ICN-Based Internet of Things

“…A SERIOUS concentration has been made in the vehicular ad hoc network (VANET) technology [1], [2] since 1990s, and especially in the last decade, many advancements have been seen. Internet of Things (IoT) has been deployed (and being deployed) in various domains, such as agriculture [3], [4], healthcare [5]- [8], cloud computing [9], [10], edge computing [11], smart cities [12]- [14], smart homes [15], etc [16], [17]. However, VANETs in combination with IoT is a familiar research topic and has attracted attention from the research community at large [18].…”

EdgeTrust - A Lightweight Data-centric Trust Management Approach for Green Internet of Edge Things

“…In [63], a generic IoT trust architecture is proposed that integrates trust into all these layers as an integral component to manage security. IoT faces several security challenges [36], e.g., authentication [3,31,37,38], access control [47,60], trust management in cross domain along with smart edge nodes [6,7,9,11,33], security management in IoT equipped with VANET nodes [10,27,35,45], policy enforcement [54], secure middleware [13], and confidentiality [50].…”