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Internet of Things, Artificial Intelligence and Blockchain Technology

Editat de R.Lakshmana Kumar, Yichuan Wang, T. Poongodi, Agbotiname Lucky Imoize
en Limba Engleză Paperback – 4 sep 2022
This book explores the concepts and techniques of IoT, AI, and blockchain. Also discussed is the possibility of applying blockchain for providing security in various domains. The specific highlight of this book is focused on the application of integrated technologies in enhancing data models, better insights and discovery, intelligent predictions, smarter finance, smart retail, global verification, transparent governance, and innovative audit systems. The book allows both practitioners and researchers to share their opinions and recent research in the convergence of these technologies among academicians and industry people. The contributors present their technical evaluation and compare it with existing technologies. Theoretical explanation and experimental case studies related to real-time scenarios are also included. This book pertains to IT professionals, researchers and academicians working on fourth revolution technologies.

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Specificații

ISBN-13: 9783030741525
ISBN-10: 3030741524
Pagini: 341
Ilustrații: XIII, 341 p. 149 illus., 105 illus. in color.
Dimensiuni: 155 x 235 mm
Greutate: 0.5 kg
Ediția:1st ed. 2021
Editura: Springer International Publishing
Colecția Springer
Locul publicării:Cham, Switzerland

Cuprins

Introduction.- Introduction to Internet of Things.- Overview of Artificial Intelligence.- Blockchain Technology.- Internet of Things and Blockchain.- Artificial intelligence for Blockchain.- AI enabled Blockchain Smart Contract.- IoT, AI, and Blockchain for Smart cities.- IoT, AI, and Blockchain for Healthcare.- Revolution of IoT, AI, and blockchain in the business sector.- Conclusion.

Notă biografică

Prof Dr. R. Lakshmana Kumar is the head  for centre  of Excellence for Artificial Intelligence and Machine Learning at Hindusthan College of Engineering and Technology, Coimbatore. Tamil Nadu. He is also working as an offshore Director –R&D(AI) in ASIQC ,New Columbia, Canada. He is the founding member of IEEE SIG of Big Data for Cyber Security and Privacy, IEEE . He serves as a core member in the editorial board of Cambridge Scholars Publishing - UK , Trends in Renewable Energy Journal -USA ,Frontiers in Communications and Networks- Switzerland . He is a global chapter Lead for MLCS [Machine Learning for Cyber Security]..He is currently allied with company specific training of Infosys Campus Connect, Oracle WDP and Palo Alto networks. He himself involves in research and expertise in Fog computing and Blockchain technologies. In addition to that he is a lead guest editor for the journals like Int. J. of Internet Technology and Secured Transactions (Indexed-Scopus (Elsevier) & more) in Inderscience, International Journal of Gaming and Computer-Mediated Simulations (Indexed- Web of Science,Scopus (Elsevier),ESCI & more) in IGI Global, Ad Hoc & Sensor Wireless Networks (Indexed-SCI,Scopus& more), Open Computer Science (Indexed- Web of Science - Emerging Sources Citation Index, Scopus & more), IGI [International Journal of Knowledge and Systems Science (IJKSS)] (Indexed- Web of Science,Scopus (Elsevier),ESCI &more), Inderscience – International Journal of Data Science (IJDS), IGI – International Journal of Operations Research and Information Systems (IJORIS). He is a Book Series Editor in, "Advances in Quantum Computing, Artificial Intelligence, and Data Sciences for Industrial Transformation Series", CRC Press. He is acting as a vibrant reviewer for the journals like”  IEEE Internet of Things Journal” , “IEEE Access ”, “Transactions on emerging telecommunications technologies”, “International Journal of Web Services Research (IJWSR). He holds the privileged Gold level partnership award from Infosys, India for bridging the gap between industry and academia in 2017. He holds the privileged Silver level partnership award from Infosys, India for bridging the gap between industry and academia in 2016. As part of his professional career, he has around 40+ publications in international journals and conferences. He holds five edited books from Taylor and Francis , Elsevier and Scrivener Publishing. He has around 20 patents. He holds the certification in Data Science from John Hopkins University, United States. He is also an Amazon Cloud Architect  and ACM distinguished speaker.
 
Prof Yichuan Wang is an Associate Professor of Digital Marketing at the Sheffield University Management School, University of Sheffield, UK. He holds a Ph.D. degree in Business & Information System from the Raymond J. Harbert College of Business, Auburn University, USA. His research interests focus on examining the role of digital technologies and information systems in influencing business practices. He has published over 80 papers on the journals such as International Journal of Operations and Production Management, British Journal of Management, Information & Management, Annals of Tourism Research, Journal of Travel Research, Industrial Marketing Management, Journal of Business Research, IEEE Network, various IEEE TRANSACTIONS, International Journal of Production Economics and conference proceedings. He has edited several special issues on digitalization related topics in journals (e.g., Information Systems Frontiers, Information Technology & People, and Journal of Business Research). He sits in the editorial board of Enterprise Information System and International Journal of Consumer Studies
 
Prof T. Poongodi is working as an Associate Professor, in School of Computing Science and Engineering, Galgotias University, NCR Delhi, India. She has completed Ph. D in Information Technology (Information and Communication Engineering) from Anna University, Tamil Nadu, India. Her main thrust research areas are Big Data, Internet of Things, Ad-hoc networks, Network Security and Cloud computing. She is pioneer researcher in the areas of Bigdata, Wireless network, Internet of Things and has published more than 25 papers in various international journals. She has presented paper in National/International Conferences, published book chapters in CRC Press, IGI global, Springer, and edited books.
 
Prof Agbotiname Lucky Imoize is a Wireless Communications Researcher. He was a Fulbright Visiting Research Scholar at Virginia Tech., USA, and he is currently a DAAD Research Scholar in Germany. He is a Faculty member at the Department of Electrical and Electronics Engineering, University of Lagos, Nigeria. He was formerly a Core Network Engineer with ZTE Nigeria Limited, and a Network Switching Subsystems Engineer with Globacom Nigeria Limited. He haspublished over 30 wireless communications related papers in peer review Journals, and his area of interests are in radio propagation measurements and channel modeling,  energy efficient wireless communications systems, and 5G & beyond 5G cellular networks.

Textul de pe ultima copertă

This book explores the concepts and techniques of IoT, AI, and blockchain. Also discussed is the possibility of applying blockchain for providing security in various domains. The specific highlight of this book is focused on the application of integrated technologies in enhancing data models, better insights and discovery, intelligent predictions, smarter finance, smart retail, global verification, transparent governance, and innovative audit systems. The book allows both practitioners and researchers to share their opinions and recent research in the convergence of these technologies among academicians and industry people. The contributors present their technical evaluation and compare it with existing technologies. Theoretical explanation and experimental case studies related to real-time scenarios are also included. This book pertains to IT professionals, researchers and academicians working on fourth revolution technologies.
  • Explains how blockchain can significantly increase data privacy and security while boosting accuracy and integrity in IoT generated data and AI processed information;
  • Gives insight into blockchain’s numerous potential applications, starting with recent technologies that give users control over sharing and privacy;
  • Shows readers how to employ blockchain in IoT and AI, helping them to understand what they can and cannot do with blockchain.

Caracteristici

Explains how blockchain can significantly increase data privacy and security while boosting accuracy and integrity in IoT generated data and AI processed information Gives insight into blockchain’s numerous potential applications, starting with recent technologies that give users control over sharing and privacy Shows readers how to employ blockchain in IoT and AI, helping them to understand what they can and cannot do with blockchain