Leveraging the Internet of Things and Blockchain for Developing Intelligent Learning Models

Abstract

The convergence of the Internet of Things (IoT) and blockchain technologies has revolutionised several industries by enabling secure, decentralised, and intelligent solutions for managing large-scale data and automated decision-making systems. IoT allows devices to interconnect and share data, but issues such as security, trust, and data integrity become more critical as the network grows. Blockchain with distributed ledger and no alterable data storage provides a very strong solution to these challenges by providing transparency an1d security. In addition, intelligent learning models such as artificial intelligence, machine learning, and deep learning techniques can enhance efficient data analysis, pattern recognition, and self-learning IoT networks. This chapter recognises the compatibility of IoT and blockchain, the advantages and issues of integrating, and how the intelligent learning models would employ it for enhanced usage. A discussion of the key challenges and limitations, research implications, and trends and developments in the blockchain-IoT integration area is also presented.