Next-Generation Data-Driven Business 4.0 using the Internet of Things, Blockchain, and Interconnected Devices

1. Auflage 2025
ISBN: 978-1-032-94106-6
Verlag: Taylor & Francis Ltd

Buch, Englisch, 408 Seiten, Format (B × H): 156 mm x 234 mm

Reihe: Future Generation Information Systems

This reference text presents industrial and real-case scenarios of the various businesses from the edge points to the interior manufacturing units where the data is smartly generated using the Internet of Things and processed. It further discusses topics such as virtual data security, protocols for next-generation transactions, the framework of Web 4.0, and the Internet of Things in cloud grids and eco-energy.

This book:

- Discusses automatic segregated application of enhancing the sizing of sustainable eco-energy management in cloud grids.

- Covers intelligent blockchain-based Internet of Things framework for sustainable secure transportation, and resdesign of blockchain with web 4.0 architecture.

- Illustrates non-fungible token methods for the unique identification with blockchain, and principles of confidentiality in Internet of Things eco-energy.

- Explains the scope of intelligent and secure channels in manufacturing and logistics business sectors.

- Includes the practical implications of blockchain paradigms which drive the interoperability features in end-to-end mode that aids in reducing the energy in inter-data driven business.

It is primarily written for graduate students and academic researchers in the fields of electrical engineering, electronics, and communication engineering, computer science and engineering, information technology, and business management.

Zielgruppe

Academic, Postgraduate, and Undergraduate Advanced

Autoren/Hrsg.

Le, Dac-Nhuong

Saini, Hemant Kumar

A. Mahajan, Rupali

Fachgebiete

• Technische Wissenschaften Elektronik | Nachrichtentechnik Elektronik
• Mathematik | Informatik EDV | Informatik Technische Informatik
• Technische Wissenschaften Energietechnik | Elektrotechnik Elektrotechnik
• Technische Wissenschaften Maschinenbau | Werkstoffkunde Produktionstechnik Fertigungstechnik

Inhaltsverzeichnis

1. Understanding Blockchain Technology: Ecosystems, Implementation Strategies, Governance, and Emerging Capabilities. 2. The Benefits of Web and Blockchain in Decision-Making for Industry 4.0. 3. The Convergence of Blockchain, IoT, and Machine Learning: Transforming Future Technologies. 4. Blockchain Technology for Modern Governance: Theoretical Foundations and Real-World Applications. 5. Leveraging Blockchain and IoT for Sustainable Supply Chain Management in Industry 4.0. 6. Blockchain Applications in the Construction Industry in Industry 4.0. 7. Blockchain Revolution: Ensuring Sustainable Practices in the Fast Fashion Industry Through Innovation. 8. Optimizing the Blockchain-Based Platforms for Carbon Trading to Enhance Digital Economic Sustainability. 9. Harnessing IoT, Blockchain, and Interconnected Devices for Business 4.0: A New Era of Efficiency, Security, and Innovation. 10. Intelligent Blockchain-based IoT Framework for Sustainable Secure Transportation. 11. Automatic Segregated Application of Enhancing the Sizing of Stainable Eco-Energy Management in Cloud Grids. 12. Blockchain Complementary Model: A new way for devouring Smart Data by Driverless Vehicles for Next Generation Communication. 13. Using AI and Fuzzy Logic for Consumer Behavior Analysis in Metaverse Business. 14. Enhancing IoT Security: A Machine Learning Approach to Mitigate Diverse Attack Vectors. 15. Immutable and transparent harvesting of Web Blockchain: A New Application Area of Big Tech Vulnerability. 16. Trustworthy Federated Identity Management (TFIM) for Secure DApp Interoperability in Cross-Chain Environment.

Über Autor(innen)

Hemant Kumar Saini working as an Adjunct Professor at Lincoln University College Malaysia. Over the course of his career, he has served as a Research Assistant Professor at several prestigious institutions, including Amity University, Chandigarh University, Parul University, and Galgotias University. He is Post Doc from Lincoln University Malaysia and finished his PhD. in the AdHoc Networks Security and M.Tech(Gold Medalist) in CSE and honored by Governor of Rajasthan by Hon'ble Shri Kalyan Singh Ji. He is a Professional Red Hat Certified Engineer. His innovative compression research framework has been adopted by Delhi Ventures Ltd. He has published 65 articles in reputed, peer-reviewed national and international Scopus and SCI journals, 8 Books and 18 published in Scopus-indexed conferences. He is running with 3 grants from DRDO on his project based on FOSS acceleration academic curricula. Additionally, he has served as a keynote speaker and resource person for several workshops and webinars conducted in India. He has been a CSI and IEEE professional member. His research includes digital transformation technologies such as Artificial Intelligence (AI), Quantum Computing, Internet of Things (IoT), Blockchain, Edge and Serverless computing, Cloud-native computing, and Digital Twins. He is a reviewer and TPC member of IEEE and Springer Nature Computer Science Journal. He is a Chief Editor of Journal of Scientific Research and Reports, Journal of Supercomputing, Guest Editor of IEEE Communication, CSI communications and edited books published by international publishers of repute.

Rupali A. Mahajan currently serves as the Associate Professor and Head of the Data Science Department, along with holding the position of Associate Dean (Research and Development) at Vishwakarma Institute of Information Technology, Pune. With a Ph.D. in Computer Science and Engineering, she boasts a robust academic background and a wealth of experience in the field. Her expertise is exemplified by her extensive research portfolio, which includes an impressive total of 18 patents across diverse domains. Dr. Mahajan's research interests encompass a wide spectrum, ranging from Machine Learning and Artificial Intelligence to Deep Learning. She has also authored 7 books and published over 50 research papers, contributing significantly to areas such as software engineering, artificial intelligence, and data science.

Dac-Nhuong Le has an MSc and PhD in computer science from Vietnam National University, Vietnam in 2009 and 2015, respectively. He is an Associate Professor of Computer Science and Dean of the Faculty of Information Technology at Haiphong University, Vietnam. He has 20+ years of academic teaching experience in computer science. He has many publications in reputed international conferences, journals, and book chapters (Indexed by SCIE, SSCI, ESCI, Scopus). His research areas include intelligence computing, multi-objective optimization, network security, cloud computing, virtual reality/augmented reality, and IoT. Recently, he has served on the technical program committee, conducted technical reviews, and acted as a track chair for international conferences under the Springer-ASIC/LNAI/CISC Series. He also serves on the editorial board of international journals and has edited/authored 30+ computer science books published by international publishers of repute.