Machine Learning, Blockchain Technologies and Big Data Analytics for IoTs - Methods, technologies and applications (Hardcover)

Internet of Things (IoTs) are now being integrated at a large scale in fast-developing applications such as healthcare, transportation, education, finance, insurance and retail. The next generation of automated applications will command machines to do tasks better and more efficiently. Both industry and academic researchers are looking at transforming applications using machine learning and deep learning to build better models and by taking advantage of the decentralized nature of Blockchain. But the advent of these new technologies also brings very high expectations to industries, organisations and users. The decrease of computing costs, the improvement of data integrity in Blockchain, and the verification of transactions using Machine Learning are becoming essential goals. This edited book covers the challenges, opportunities, innovations, new concepts and emerging trends related to the use of machine learning, Blockchain and Big Data analytics for IoTs. The book is aimed at a broad audience of ICTs, data science, machine learning and cybersecurity researchers interested in the integration of these disruptive technologies and their applications for IoTs.

General

Imprint:	Institution Of Engineering And Technology
Country of origin:	United Kingdom
Series:	Security
Release date:	October 2022
First published:	2022
Editors:	Amit Kumar Tyagi (Assistant Professor) • Ajith Abraham (Director) • Farookh Khadeer Hussain (Associate Professor) • Arturas Kaklauskas (Professor) • R. Jagadeesh Kannan (Professor)
Dimensions:	234 x 156mm (L x W)
Format:	Hardcover
Pages:	679
ISBN-13:	978-1-83953-339-6
Categories:	Books > Computing & IT > Computer communications & networking > General
LSN:	1-83953-339-0
Barcode:	9781839533396

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