This book discusses fundamentals of Blockchain technology and Industry 4.0. It discusses many applications of Blockchain technology in Industry 4.0, including integration of AI, IoT, and big data with Blockchain for Industry 4.0. It provides cutting-edge research content from researchers, academicians, and other professionals from different background areas to show their state-of-the-art knowledge to use Blockchain in Industry 4.0. The book discusses advantages of Industry 4.0, such as improved productivity, improved efficiency, flexibility, agility, better user experience, and many more, and also entails some challenges too, such as trust, traceability, security, reliability, transparency, etc., for creating an application of Industry 4.0. The book helps graduate, postgraduate, doctoral students, and industrial professionals to implement Blockchain in Industry 4.0.
Author(s): Suyel Namasudra, Kemal Akkaya
Series: Studies in Big Data, 119
Publisher: Springer
Year: 2023
Language: English
Pages: 323
City: Singapore
Preface
Contents
Editors and Contributors
Introduction to Blockchain Technology
1 Introduction
2 Technologies Behind Blockchain
2.1 Block Structure
2.2 Block Generation
2.3 Consensus Algorithm
2.4 Blockchain Architecture
3 Types of Blockchain
4 Features of Blockchain
5 Advantages of Blockchain
6 Disadvantages of Blockchain
7 Applications
7.1 Applications of Blockchain in Banking and Finance
7.2 Applications of Blockchain in Business
7.3 Applications of Blockchain in Government
7.4 Applications of Blockchain in Other Industries
8 Challenges in Adopting Blockchain
9 Conclusions and Future Works
References
Introduction to Industry 4.0
1 Introduction
2 Industrial Revolution
2.1 Industrial Revolution 1.0
2.2 Industrial Revolution 2.0
2.3 Industrial Revolution 3.0
2.4 Industrial Revolution 4.0
3 Digital Transformation
4 Need of Industry 4.0
4.1 Capabilities of Blockchain
4.2 Need in Government
4.3 Integration of System
4.4 Proper Management
5 Industry 4.0 for Sustainable Development
6 Applications of Industry 4.0
7 Conclusion and Future Works
References
Blockchain in Supply Chain Management
1 Introduction
2 Blockchain in Business Supply Chain
2.1 Digitization in Supply Chain System
2.2 Need of Blockchain in Business Supply Chain
2.3 Architecture of Blockchain-Based Supply Chain Management
2.4 Existing Schemes
2.5 Case Studies/Applications
3 Blockchain in Supply Chain Security
3.1 Smart Contracts
3.2 Asset Tracking
3.3 Secure and Error-Free Order Fulfillment
3.4 Cyber Security
4 Blockchain for Demand-Driven Supply Chain
4.1 Role of Blockchain in Demand-Driven Supply Chain
4.2 Existing Scheme of DDSC in Healthcare
5 Barriers to Implement Blockchain in SCM
6 Conclusions and Future Work
References
Government Applications and Standards to Use Blockchain
1 Introduction
2 Blockchain in Government 4.0
3 Blockchain Implementation in Government 4.0
3.1 Real Estate: Land Cadastres and Property Records
3.2 Digital Identity Management: Self-Sovereign Identity
3.3 Infrastructure and Safety Management
3.4 Smart Contracts
4 Institutional and Legal Framework to Implement Blockchain in Government 4.0
5 Conclusion
References
Application of Blockchain in Mining 4.0
1 Introduction
2 Blockchain
2.1 Differences Between Blockchain and Traditional Database
2.2 Significances of Blockchain
2.3 Provenance of Essence (Materials)
3 Supply Chain
4 Machines-to-Machine Communication by Using Blockchain
4.1 Applications and Instances of M2M
5 Applications of Blockchain in Mining 4.0
5.1 Secure Mining Data
5.2 Challenges of Implementing Blockchain in the Mining Industry
5.3 Security and Privacy Challenges of Blockchain
6 Conclusion
References
Integration of Data Science and IoT with Blockchain for Industry 4.0
1 Introduction
2 Fundamentals of Data Science
2.1 Artificial Intelligence (AI)
2.2 Machine Learning
2.3 Deep Learning
3 Fundamentals of IoT
3.1 IoT Components
3.2 IoT Architecture
3.3 Need for Identity Management
4 IOTA Distributed Ledger
5 Challenges to Implement Blockchain Technology in Data Science and IoT
6 Integration of Blockchain with Data Science and IoT
7 Applications of Blockchain with Data Science and IoT for Industry 4.0
7.1 Device Identity Management
7.2 Anomaly Detection of IIoT Data Using AI
7.3 Security of IIoT Data Using IOTA Tangle
7.4 Smart Lamps
8 Conclusion
References
Innovations in Blockchain Using Artificial Intelligence
1 Introduction
2 Identity Challenges in the Context of Industry 4.0 and the Metaverse
3 I&AM Background: Definitions, Architecture, and Evolution
3.1 Definition of Identity Management System
3.2 I&AM Architectures and Evolution
4 How Does SSI Leverage Blockchain Technology?
5 Blockchain-Based SSI Architecture
6 SSI Layered Model
6.1 Illustrative Use Case
7 AI, Machine Learning, and Deep Learning: Background and Basic Principles
8 AI, ML, and DL in I&AM Field: The Main Challenges
9 AI in I&AM: A State of the Art
9.1 Identification
9.2 Authentication
9.3 Authorisation
9.4 Auditing and Monitoring
9.5 Accountability
10 Discussion and Analysis
11 Conclusion
References
Blockchain and Artificial Intelligence for Business Transformation Toward Sustainability
1 Introduction
2 Introduction to Artificial Intelligence
2.1 Why AI
2.2 Advantages of AI
2.3 Disadvantages of AI
2.4 AI Applications
3 Integrating Blockchain with AI
4 AI with Blockchain for Business Transformation
5 AI with Blockchain for Sustainable Circular Economy
6 AI with Blockchain for Alternative Money System
7 AI with Blockchain for Token Economy
8 Conclusions and Future Works
References
Blockchain in Big Data for Agriculture Supply Chain
1 Introduction
2 Fundamentals of Smart Agriculture
2.1 History of Smart Agriculture
2.2 Significance of Smart Agriculture
2.3 Advantages of Smart Agriculture
2.4 Disadvantages of Smart Agriculture
2.5 Intelligent Sensors and Machinery Used in Agriculture Industry
3 Applications of Blockchain in Big Data for Agriculture Supply Chain
3.1 Introduction to Blockchain
3.2 Introduction to Big Data
3.3 Integrating Blockchain with Big Data
3.4 Applications
3.5 Benefits of Blockchain in Agriculture
4 Food Supply Chain Management Based on Blockchain-Integrated Big Data
4.1 Integrating FSCM with Big Data and Blockchain
4.2 Advantages
4.3 Real-Time Examples
5 Challenges to Implement Food Supply Chain Management Based on Blockchain-Integrated Big Data
6 Conclusion
References
Novel Smart Homecare IoT System with Edge-AI and Blockchain
1 Introduction
2 Literature Reviews
2.1 Usage of Blockchain in Healthcare Systems
2.2 Health Monitoring Systems with Edge/Fog Computing
3 Background Studies
3.1 Blockchain Issues and Challenges
3.2 Hyperledger Fabric: Permissioned Blockchain
4 Proposed Scheme
4.1 The Proposed System Architecture
4.2 Edge Services
5 Performance Analysis
5.1 Experimental Environment
5.2 Results and Discussion
6 Conclusion and Future Works
References
