Today a plethora of applications are trying to shift toward using the Internet of Things (IoT) or Internet Connected Things. IoTs can be used in many applications such as Healthcare, Agriculture, Transportation, and Logistics. These devices can help healthcare professionals take care of patients in real time. However, there are several issues around smart devices such as security, privacy, and trust. Blockchain is the most secured technology today. It is a novel concept to provide a decentralized and distributed structure and is based on a distributed ledger concept. This chapter discusses IoT and its uses in smart AI-based applications with the integration of blockchain.

Chapter Contents:

• Abstract
• 1.1 Introduction
• 1.2 Machine Learning, blockchain, IoT, and Big Data analytics - a useful overview
• 1.2.1 Securing the IoTs-based applications using AI
• 1.2.2 Advantages of blockchain solutions
• 1.2.3 Others
• 1.3 AI, Machine Learning, blockchain for the IoT: critical challenges and opportunities for future
• 1.3.1 Critical challenges in the integration of AI and IoT
• 1.3.2 Challenges in the integration of blockchain and IoT
• 1.4 Our motivation
• 1.5 Organization of this work
• References

Inspec keywords: health care; learning (artificial intelligence); financial data processing; Big Data; data analysis; Internet of Things; Internet; data privacy

Other keywords: Internet Connected Things; IoT; machine learning; healthcare professionals; secured technology today; smart devices; blockchain technologies; distributed ledger concept; Big Data analytics; smart AI-based applications

Subjects: Data security; Data handling techniques; Internet software; Information networks; Financial computing; Mobile, ubiquitous and pervasive computing