Article
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Preserved in Portico This version is not peer-reviewed
Blockchain-Based Smart Farm Security Framework for the Internet of Things
Version 1
: Received: 2 August 2023 / Approved: 2 August 2023 / Online: 3 August 2023 (14:25:02 CEST)
A peer-reviewed article of this Preprint also exists.
Aliyu, A.A.; Liu, J. Blockchain-Based Smart Farm Security Framework for the Internet of Things. Sensors 2023, 23, 7992. Aliyu, A.A.; Liu, J. Blockchain-Based Smart Farm Security Framework for the Internet of Things. Sensors 2023, 23, 7992.
Abstract
Smart farming, as a branch of the Internet of Things (IoT), combines the recognition of agricultural economic competencies, the progress of data and information collected from connected devices with statistical analysis to characterize the essentials of the assimilated information, allowing farmers to make intelligent conclusions that will maximize the harvest benefit. However, the integration of advanced technologies requires the adoption of high-tech security approaches. In this paper, we present a framework that promises to enhance the security and privacy of smart farms by leveraging the decentralized nature of blockchain technology. The framework stores and manages data acquired from IoT devices installed in smart farms using a distributed ledger architecture, which provides secure and tamper-proof data storage and ensures the integrity and validity of the data. The study uses the AWS cloud, ESP32, the smart farm security monitoring framework, and the Ethereum Rinkeby smart contract mechanism, which enables automated execution of pre-defined rules and regulations. As a result of a proof-of-concept implementation, the system can detect and respond to security threats in real time, and the results illustrate its usefulness in improving the security of smart farms.
Keywords
Blockchain; Poisoning Attacks; Internet of Things; Smart Farming
Subject
Computer Science and Mathematics, Security Systems
Copyright: This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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