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Machine Learning, Blockchain Technologies and Big Data Analytics for IoTs

Machine Learning, Blockchain Technologies and Big Data Analytics for IoTs

Methods, technologies and applications  

Edited by Amit Kumar Tyagi, Ajith Abraham, Farookh Khadeer Hussain, Arturas Kaklauskas, R. Jagadeesh Kannan

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.

About the Editors

Amit Kumar Tyagi is an assistant professor and senior researcher at the School of Computer Science and Engineering, Vellore Institute of Technology (VIT), Chennai, Tamilnadu, India. His research focuses on machine learning with big data, blockchain technology, data science, cyber physical systems, smart & secure computing and privacy. He has contributed to several projects such as "AARIN" and "P3-Block" addressing open issues related to the privacy breaches in vehicular applications and medical cyber physical systems.

Ajith Abraham is the director of Machine Intelligence Research Labs (MIR Labs), Australia. MIR Labs are a not-for-profit scientific network for innovation and research excellence connecting industry and academia. His research focuses on real world problems in the fields of machine intelligence, cyber-physical systems, Internet of things, network security, sensor networks, web intelligence, web services, and data mining. He is the Chair of the IEEE Systems Man and Cybernetics Society Technical Committee on Soft Computing.

Farookh Khadeer Hussain is an associate professor with the School of Software, University of Technology Sydney, Australia. He is also an associate member of the Advanced Analytics Institute and a core member of the Centre for Artificial Intelligence. His research interests include trust-based computing, cloud of things, blockchains, and machine learning. He has published widely in these areas in top journals, such as FGCS, the Computer Journal, JCSS, and IEEE Transactions on Industrial Informatics.

Arturas Kaklauskas is a professor at Vilnius Gediminas Technical University, Lithuania. His areas of interest include affective computing, Internet of Things, big data and text analytics, intelligent event prediction, opinion mining, intelligent decision support systems, neuro-marketing, intelligent tutoring systems, massive open online courses (MOOCS), smart built environment, energy and resilience management. He is editor in chief of the Journal of Civil Engineering and Management, and editor of Engineering Applications of Artificial Intelligence.

R. Jagadeesh Kannan is a professor at the School of Computer Science and Engineering, Vellore Institute of Technology, Chennai, Tamilnadu, India. His research focuses on semantic web, network security, software engineering, and artificial intelligence. He is an active member of the Indian Society for Technical Education (ISTE), Computer Society of India (CSI), Software Process Improvement Network (SPIN), International Association of Engineers (IAENG), Association of Computer Electronics & Electrical & Engineers (ACEEE), amongst others.



Item Subjects:
Security

Publication Year: 2022

Pages: 680

ISBN-13: 978-1-83953-339-6

Format: HBK

Editors: Amit Kumar Tyagi, Ajith Abraham, Farookh Khadeer Hussain, Arturas Kaklauskas, R. Jagadeesh Kannan

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