A COMPREHENSIVE FRAMEWORK FOR INTEGRATING BLOCKCHAIN SECURITY, CYBERSECURITY, AND AI-BASED LEARNING IN IOT-DRIVEN AGRICULTURE

Abstract

The integration of edge computing with Internet of Things (IoT) systems (EC-IoT) enhances protection and privateness in IoT networks, addressing key challenges in records safety and community integrity. This paper examines the combination of EC-IoT and synthetic intelligence (AI), exploring strategies to bolster security features and counter evolving threats. The evaluate specializes in decentralized trust size mechanisms and protection frameworks designed for IoT structures, studying the today's assault fashions and their impacts on IoT networks. Additionally, AI-based techniques for mitigating those threats are evaluated, with emphasis on real-international effectiveness. The paper highlights the need for scalable, adaptable, and strong security solutions, urging destiny research to cognizance on integrating AI to improve IoT security, privacy, and efficiency at the same time as addressing challenges along with scalability and resource barriers.