Lakshmana Kumar Ramasamy, Seifedine Kadry

Blockchain in the Industrial Internet of Things (eBook, ePUB)

• Format: ePub

Produktbeschreibung

Blockchain is a continuously growing ledger that maintains a constant record of all business dealings in a safe, period sequence and unchanging manner. It allows for the safe exchange of cash, assets, agreements, and so on. Just as the Internet of Things (IoT) refers to a system of internet networked computing and digital devices that do not need human-to-human or human-to-computer interaction, the Industrial Internet of Things (IIoT) refers to the use of the IoT in industrial sectors and is key for Industry 4.0. Whilst the IIoT has advanced swiftly, privacy issues and safety vulnerabilities remain concerns. Incorporating blockchain technology with its decentralization and embedded cryptographic principles with the IIoT can overcome these security worries and motivate the further development and implementation of the IIoT.

This book reviews blockchain and the IIoT and explains how their combination is creating a new emergent technology and the huge benefits it can bring. Commencing with a definition of the IoT and a review of its working process, advantages, applications, challenges, and future potential the book then provides an overview of blockchain and its operation, including decentralization of AI algorithms and functions, blockchain type and formation, and the basic consensus algorithms used for decentralized dispersed transaction verifications over vital networks. The second part of the book investigates the exciting combination of blockchain with IIoT, which can be called Blockchain for Industrial Internet of Things (BIIoT) and examines the latest models for linking IIoT to the blockchain as well as the numerous industrial applications. The work will be of interest to both industrial and academic researchers and engineers, cyber security professionals as well as advanced students in computer science, information technology and electronic engineering.

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Produktdetails

• Verlag: Institute of Physics Publishing
• Seitenzahl: 200
• Erscheinungstermin: 13. Mai 2021
• Englisch
• ISBN-13: 9780750336635
• Artikelnr.: 62105248

Autorenporträt

Lakshmana Kumar Ramasamy is currently associated with Hindusthan College of Engineering and Technology, India. He is also a Director-Research & Development (Artificial Intelligence) in a Canadian-based company (ASIQC) in Vancouver. He is the Founding Member of IEEE SIG of Big Data for Cyber Security and Privacy, IEEE. He is a global chapter Lead for MLCS [Machine Learning for Cyber Security]. He is involved in research and expertise in AI and Blockchain technologies and holds Data Science certification from John Hopkins University, United States. He also holds the Amazon Cloud Architect certification from Amazon Web Services. He holds the privileged Gold level partnership award from Infosys for bridging the gap between industry and academia in 2017. He holds the privileged Silver level partnership award from Infosys for bridging the gap between industry and academia in 2016. He is an Editor-In-Chief for Book Series, "Advances in Quantum Computing, Artificial Intelligence, and Data Sciences for Industrial Transformation Series", and is also an Editor-In-Chief for Focus Series, Convergence of IoT and Blockchain Through Machine Learning Approaches, CRC Press. He is a core member of the Artificial Intelligence Editorial Advisory Board of Cambridge Scholars Publishing, UK. He is an Editorial board member of Trends in Renewable Energy Journal, USA and Frontiers in Communications and Networks, Switzerland. He is the Associate Editor for International Journal of Quality Control and Standards in Science and Engineering (IJQCSSE), IGI Publishers, USA. As part of his professional career, he has around 50+ publications in international journals and conferences. He has edited books published by Elsevier, CRC Press, Springer, and Wiley. He holds around 19 Indian patents and 2 International patents. He is an ACM Distinguished Speaker and IEEE brand ambassador.

Seifedine Kadry has a bachelor's degree from Lebanese University, MS degree from Reims University (France) and EPFL (Lausanne), PhD from Blaise Pascal University (France), HDR degree (Habilitation) from Rouen University. At present, his research focuses on data science, education using technology, system prognostics, stochastic systems, and applied mathematics. He is an ABET program evaluator for computing and ABET program evaluator for Engineering Tech. He is an IET Fellow. Currently, he is a full professor of Data Science at Noroff University College, Norway.