Название: Machine Learning, Blockchain Technologies and Big Data Analytics for IoTs: Methods, technologies and applications
Автор: Amit Kumar Tyagi, Ajith Abraham, Arturas Kaklauskas
Издательство: The Institution of Engineering and Technology
Год: 2022
Страниц: 679
Язык: английский
Формат: pdf (true)
Размер: 37.0 MB

We are moving into a smart era where Internet of Things (IoTs) and smart devices will be used at a large scale. In fast-developing applications such as healthcare, transportation, education, retail, etc., the storing of information (generated by IoT devices) and its access will require secure mechanisms. Blockchain is designed specifically to accelerate and simplify the process of how transactions are made without any intermediary. They can be recorded transparently as a completely decentralized system. Blockchain technologies and concepts will help support decentralized services to end users by providing reliable, full-proof services using ledger functionality, and it will likely be used in many future applications. Moreover, both industry and academic researchers are now looking at transforming applications into automated applications using Machine Learning and Deep Learning.

The next generation of automated applications will command machines to do tasks better and more efficiently. To enhance security, machine learning (ML) methodologies and technologies will be used to build better models by taking advantage of the decentralized nature of blockchain (that encourage data sharing) and to govern the chain. The combination of blockchain (or Distributed Ledger Technology (DLT)), Big Data analytics, and machine learning could be a game changer in many sectors and for many future applications including the financial and insurance industries as they can be used to identify fraud and bogus users inside systems and networks. With such enhancements, blockchain will provide new opportunities for building cutting-edge next-generation Artificial Intelligence-based business applications.

This book will cover challenges and opportunities related to machine learning, Big Data analytics, and blockchain technologies and applications for IoTs. The aim is to provide a broad coverage of research and technology innovations, and emerging trends and concepts in the field, and to introduce applications in communication, healthcare, transportation, manufacturing, and financial services.






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