Blockchain Security

Name: Blockchain Security | Decentralization and Data Integrity in Digital Economies
Brand: De Gruyter
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Decentralization and Data Integrity in Digital Economies

Velliangiri Sarveshwaran Sathish Kumar Polinpapilinho F. Katina Vani Rajasekar(Editor)

De Gruyter (Publisher)

1st Edition

Published on 30. March 2026

XIV, 320 pages

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978-3-11-166160-5 (ISBN)

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Content

Intro
Preface
Contents
About the Editors
List of Contributing Authors
Blockchain Security: Principles of Cyber Fundamentals
1 Introduction
2 Review of Literature
3 Blockchain Cyber Fundamentals
3.1 Confidentiality
3.2 Integrity
3.3 Availability
3.4 Address and Key Management
3.5 Consensus Protocols
4 Consensus Mechanisms
4.1 Proof-of-Work (PoW)
4.2 Proof-of-Stake (PoS)
4.3 Delegated Proof-of-Stake (DPoS)
4.4 Practical Byzantine Fault Tolerance (PBFT)
4.5 Proof-of-Authority (PoA)
5 Decentralization and Distributed Ledgers
5.1 What Is Decentralization?
5.2 Distributed Ledger Technology (DLT)
5.3 Benefits of Decentralization in Blockchain
5.4 Challenges and Limitations
6 Transparency and Pseudonymity
6.1 Transparency in Blockchain
6.2 Understanding Pseudonymity
6.3 Audit Trails and Compliance
6.4 Privacy Considerations and Regulatory Balance
7 Immutability and Data Integrity
7.1 Overview of Immutability in Blockchain
7.2 Cryptographic Hashing and Chaining
7.3 Decentralization's Role in Immutability
7.4 Legal and Compliance Challenges
7.5 Benefits of Blockchain Immutability
8 Smart Contracts and Automation
8.1 Definition and Basic Functionality
8.2 Benefits of Automation
8.3 Security Risks and Vulnerabilities
8.4 Security Best Practices and Governance
9 Blockchain Threats and Vulnerabilities
9.1 The 51% Attack
9.2 Sybil Attacks
9.3 Double-Spending
9.4 Human Factors and Operational Risks
10 Integrating Cybersecurity Frameworks
10.1 Importance of Cybersecurity Framework Alignment
10.2 Multilayered Defense Strategies
10.3 Penetration Testing and Vulnerability Assessment
11 Tools for Security Analysis
11.1 Blockchain Forensic Platforms
11.2 Simulation Tools for Network Testing
11.3 Penetration-Testing Frameworks
11.4 Code Review and Security Audits
12 Future Directions
13 Conclusion
14 Summary
Supply Chain Management: Augmenting Transparency and Mitigating Fraud
1 Introduction
2 Role of SCM
3 Design and Planning of Supply Chain
3.1 Extent of Vertical Integration
3.2 Outsourcing and Offshoring
3.3 Configuration for Supply Chain
4 Challenges in Supply Chain Integration
4.1 Challenges in Adapting the Extranet
4.2 Order Management for Customer
4.3 Costs of Transaction
4.4 Strategy and Planning
4.5 Enterprise of Integration
5 Role of Technology in Enhancing Transparency and Reducing Fraud
5.1 Blockchain Technology
5.2 Artificial Intelligence (AI) and Machine Learning (ML)
5.2.1 Ethical AI and Explainability
5.2.2 Distributed Ledger Technology and Blockchain
5.2.3 Personalization and Customer Service
5.2.4 Threat Intelligence and Cybersecurity
5.2.5 Anti-money Laundering (AML) and Regulatory Compliance
5.2.6 Market Surveillance and Trading Algorithms
5.2.7 Prevention and Fraud Detection
5.2.8 Threat Intelligence and Cybersecurity
5.3 Internet of Things (IoT)
5.4 Big Data Analytics
5.4.1 Advantages of Examining Massive Transactional Databases
5.4.2 Big Data Influences Financial Institutions
6 Case Studies
6.1 Walmart's Blockchain Initiative
6.2 Maersk and Trade Lens
6.3 Pharmaceutical Industry
7 Best Practices for Implementation
7.1 Develop a Clear Roadmap
7.1.1 Identifying Suitable Digital Approaches
7.1.2 Basics of Digital Components
7.1.3 Digital Leadership
7.1.4 Defining for General Scope
7.1.5 Needs to be Considered in Business Opportunities
7.1.6 Digital Competencies Developed
7.2 Foster Collaboration
7.3 Invest in Training
7.4 Monitor and Adapt
8 Future Trends
8.1 Changes for Fraud Detection in Real Time
8.2 Modern Technology
9 Conclusion
References
Blockchain Revolution in Financial Security: A Case-Based Analysis of Decentralized Protection Mechanisms
1 Introduction
1.1 Overview of Blockchain Technology
1.1.1 Core Components and Architecture
1.2 Significance of Decentralized Systems
2 Fundamental Blockchain Security Principles
2.1 Comparison with Centralized Systems
2.2 Theoretical Models of Security Architecture
2.2.1 Layered Security Model
2.2.2 State Machine Model
2.2.3 Game Theoretical Model in Blockchain Security: Incentives, Economics, and Strategic Equilibrium
3 Case Studies in Blockchain Financial Security
3.1 Case Study 1: JP Morgan's Onyx Platform
3.1.1 Overview of the Platform
3.1.2 Security of Cross-Border Payments
3.2 Case Study 2: Ripple Network in Asian Banking
3.2.1 Asian Banking Implementation
3.2.2 Remittance Revolution
3.2.3 Security and Cost Benefit Analysis
3.3 Case Study 3: Stellar Network in Emerging Markets
3.3.1 Emerging Market Blockchain Solutions
3.3.2 Technical Issues
3.3.3 Financial Inclusion Metrics
3.3.4 Effectiveness of the Decentralized System
3.4 Case Study 5: ECB Digital Euro and Security Incident Analysis
3.4.1 ECB Digital Euro Initiative Central Bank Decentralization Approach
3.4.2 Security and Regulatory Balance
3.5 Poly Network Hack Case Study
3.5.1 Attack Vector
3.5.2 Technical Vulnerabilities
3.5.3 Operational Lessons
3.5.4 Resolution Strategies
3.6 Case Study 6: Compound Finance Security Analysis
3.6.1 Smart Contract Security Protocols
3.6.2 2023 Security Incident Analysis
4 Zero-Knowledge Proofs (ZKPs)
4.1 Protocol Implementation
4.2 Comparative Security Technology
5 Future Security Paradigms in Blockchain Technology
5.1 Quantum-Resistant Cryptography
5.2 AI-Enhanced Security Protocols
5.3 National Language Processing
5.4 Emerging Technological Solutions
5.5 Predictive Security Frameworks
6 Conclusion
Reference
Emerging Trends in Blockchain and Cyber Resilience: What's Next?
1 Introduction
1.1 Foundations of Digital Forensics
1.2 Blockchain Technology's Organizational Structure
1.3 Evolution and Significance
1.4 Key Challenges in Modern Digital Investigations
1.5 The Emergence of Cloud Environments in Forensic Practices
2 Blockchain Technology in Forensic Trustworthiness
2.1 Understanding Blockchain in Digital Forensics
2.2 Blockchain-Based Forensic Methods
2.3 Blockchain Applications in Cloud Forensic Models
2.3.1 IoTFC Use Case
2.3.2 Trust and Transparency Enhancement with Blockchain
3 Cloud Forensics Landscape
Cloud Ecosystems and Their Forensic Implications
3.1 Challenges and Opportunities in Cloud Forensic Investigations
3.2 Integration of Blockchain in Cloud Forensic Processes
4 AI-Driven Digital Crimes Evidence Collection
4.1 Evolution of Artificial Intelligence in Digital Forensics
4.2 Frameworks for AI-Driven Evidence Collection
4.3 Enhancing Efficiency and Accuracy with AI Technologies
5 Intersections of Blockchain and AI in Forensics
5.1 Synergies between Blockchain and AI Technologies
5.2 Advancements and Innovations in Combined Approaches
5.3 Potential Applications and Future Directions
6 Conclusion
7 Summarizing Key Contributions
References
Blockchain for AI-Driven Agriculture: Enhancing Crop Insurance, Data Integrity, and Sustainable Farming
1 Introduction
2 Background and Overview of Current Challenges in Agriculture
2.1 Overview of Current Challenges in Agriculture
2.2 The Role of Emerging Technologies
2.3 The Role of Emerging Technologies
2.4 Vision for 2030
3 Leveraging Blockchain for Data Integrity in AI-Driven Agriculture
3.1 Importance of Reliable Data in Agriculture
3.2 How Blockchain Ensures Data Integrity
3.3 Impact on AI Model
4 Secure Data Sharing: Enabling Collaboration across the Agriculture Ecosystem
4.1 Applications of Blockchain in Sustainable Farming
5 Blockchain-Enabled Crop Insurance: Automating Claims and Reducing Risk
5.1 Real-time Scenario for Integration of Blockchain Security, AI, and Smart Agriculture
5.1.1 Key Features
5.1.2 How It Works
5.2 Workflow
6 Enhancing Sustainability in Agriculture with Blockchain and AI
6.1 Sustainability Goals in Agriculture
6.2 Blockchain for Tracking Sustainability Metrics and Carbon Credits
6.3 AI for Resource Optimization and Precision Farming
6.4 Incentivizing Sustainable Practices
7 Real-Time Decision-Making: Integrating Blockchain and AI in Crop Monitoring
7.1 Challenges in Crop Monitoring
7.2 Blockchain for Real-Time Data Logging
7.3 AI-Driven Insights from Blockchain Data
7.4 Automated Response through Smart Contracts
7.5 Benefits of Integrating Blockchain and AI in Crop Monitoring
7.6 Real-World Applications and Future Potential
8 Enhancing Supply Chain Transparency from Farm to Fork
8.1 Importance of Supply Chain Transparency in Agriculture
8.2 Blockchain-Enabled Traceability
8.3 AI for Supply Chain Optimization
8.4 Benefits for Consumers and Producers
8.5 Real-World Applications: Limitations and the Next Frontier
8.6 The Next Phase
9 Future Outlook: The Vision for Blockchain and AI in Agriculture by 2030
9.1 Milestones for a Fully Integrated Blockchain and AI Agriculture System
9.2 Impact on Smallholder Farmers and Rural Economies
9.3 Global Cooperation and Standards
10 Case Study: Empowering Rural Agriculture with AI and Blockchain Technologies
10.1 Introduction
10.2 AgriLedger Initiative: Blockchain for Supply Chain Transparency
10.3 AI-Driven Predictive Analytics for Agriculture
10.4 Outcomes and Benefits
10.5 Challenges and Limitation
10.6 Recommendation to Future Improvement
10.7 Conclusion
11 Conclusion
Summary
References
Blockchain-Based Artist Royalty System
1 Introduction
1.1 Evolution of the Music Industry
1.2 Challenges in Royalty Distribution
1.3 Role of Blockchain Technology
1.4 Artist-Centric Ecosystem
1.5 Objective of the Research
2 Review of Literature
3 Existing System
3.1 Lack of Transparency
3.2 Slow Payment Processing
3.3 Inaccurate Reporting
3.4 Unfair Distribution
3.5 Complex Contracts
3.6 Problems in the Existing System: Summary Table
4 Proposed System
5 Outweighing the Alternatives
5.1 Decentralized Databases
5.1.1 Benefits of Decentralized Databases
5.1.2 Drawbacks Over Blockchain
5.2 Collaborative Industry Solutions
5.2.1 Collaborative Approaches' Strengths
5.2.2 Limitations and Structural Issues
5.3 Open-Source Royalty Software
5.3.1 Advantages of Open-Source Software
5.3.2 Security and Legal Restrictions
5.4 Why Blockchain Outweighs the Alternatives
6 Morale Behind Choice
6.1 Overview of Blockchain's Impact on Industries
6.2 Relevance to the Music Industry
6.2.1 Growing Use of Cryptocurrencies in Digital Payments
6.2.2 Blockchain to Increase Transparency and Security in Royalties
6.2.3 Benefits of Smart Contracts and Ethereum-Based Payment Systems
6.3 Timeliness and Future Potential of Blockchain in Royalty Distribution
7 Scope of this Research Work
7.1 Solving Today's Problems in Royalty Distribution
7.2 Increasing Transparency and Minimizing Errors
7.3 Offering Useful Analytics to Stakeholders
7.4 Relevance in the Context of the Global Shift to Digital Platforms
7.5 Future-Proof Solution for the Music Industry
7.6 Contribution to the Development of Blockchain Solutions in the Music Business
8 Implementation Phase for Blockchain-Based Artist Royalty System
8.1 System Architecture Overview
8.2 Smart Contract Design
8.3 User Interface (DApp)
8.4 Blockchain Interaction
8.5 Security and Access Control
8.6 User Experience Design
8.7 Testing and Deployment
8.8 Summary
9 Results and Discussion
9.1 Payment Processing Time Comparison
9.2 Royalty Distribution Percentage
9.3 Plays vs Earnings
9.4 Geographical Distribution of Music Plays
9.5 Earnings Tracker Over Time
9.6 Summary of Results and Discussion
10 Conclusion
11 Future Improvements
References
Enhancing Smart Grid Security and Efficiency: A Decentralized IOTA Tangle-Based Communication Protocol
1 Introduction
2 Literature Survey
3 IOTA Tangle
3.1 The Tangle
3.2 The Implementation
3.2.1 Coordinator
3.2.2 Snapshotting
3.2.3 Permanodes
3.2.4 Masked Authenticated Messaging (MAM)
3.2.5 Public Key, Seeds, and Private Key
4 IOTA Tangle-Based Secure Communication Model
4.1 The Smart Grid's Layered Architecture
4.1.1 Management Layer (ML)
4.1.2 Power Layer (PL)
4.1.3 Transmission Layer (TL)
4.1.4 Intelligent Gateway Layer (IGL)
4.1.5 User Layer (UL)
4.2 Initialization and Registration Phase
4.2.1 System Setup
4.2.2 Device Registration
4.3 Secure Communication and Data Transfer
4.3.1 Secure Data Transmission
4.3.2 Group Communication
4.4 Joining a New IG Node
4.5 Leaving an IG Node
5 Results and Discussion
5.1 Processing Time for Data Transactions
5.2 Security Analysis
6 Conclusion
References
Enhancing Cyber Resilience in Healthcare through Blockchain-Based Patient Data Management: Privacy, Security, and Scalability Challenges
1 Introduction
1.1 Background and Significance
1.2 Problem Statement
1.3 Research Objective
1.4 Research Questions
2 Literature Review
2.1 Blockchain Technology in Healthcare
2.2 Privacy and Security Enhancements
2.3 Scalability Challenges
2.4 Interoperability with Existing Systems
2.5 Regulatory and Compliance Considerations
2.6 Emerging Solutions and Future Directions
3 Research Methodology
3.1 Research Design
3.2 Data Collection Methods
3.2.1 Literature Review
3.2.2 Expert Interviews
3.2.3 Surveys and Questionnaires
3.2.4 Case Studies
3.3 Data Analysis Methods
3.3.1 Qualitative Analysis
3.3.2 Quantitative Analysis
3.3.3 Comparative Analysis
3.4 Ethical Considerations
4 Data Analysis and Interpretation
4.1 Qualitative Analysis (Expert Interviews and Case Studies)
4.1.1 Thematic Analysis of Expert Interviews
Security Enhancements
4.1.2 Case Study Analysis
4.2 Quantitative Analysis (Survey and Statistical Analysis)
4.2.1 Descriptive Statistical Analysis
Key Findings
4.2.2 Inferential Statistical Analysis
4.3 Comparative Analysis (Traditional vs. Blockchain-Based Healthcare Systems)
5 Findings and Discussion
5.1 Blockchain's Role in Enhancing Security and Privacy in Healthcare
5.2 Scalability Challenges in Blockchain Adoption in Healthcare
5.3 Integration of Blockchain with Existing Healthcare IT Infrastructure
5.4 Regulatory and Compliance Considerations in Blockchain-Based Healthcare Systems
Conclusion
6 Discussion
6.1 Blockchain as a Cyber Resilience Solution in Healthcare
6.2 Addressing Privacy Challenges in Blockchain-Based Healthcare Systems
6.3 Scalability Constraints and Performance Limitations
6.4 Interoperability Barriers and Healthcare IT Integration Challenges
6.5 Regulatory Compliance and Future Directions
Conclusion
7 Conclusion
References
Quantum Tree Net Security: A New Paradigm for Enhancing Cybersecurity and Threat Detection
1 Introduction
2 Related Works
3 Proposed Methodology
4 Results and Discussion
5 Conclusion
References
Improving VGG16 Robustness against Adversarial Attacks in Traffic Sign Recognition
1 Introduction
2 Related Works
3 Proposed Methodology
4 Experimental Setup and Results Discussion
4.1 Adversarial Attack Evaluation
5 Conclusions
References
Electronic Health Records on Blockchain: A Secure and Patient-Centric Approach
1 Introduction
2 Background and Related Work
2.1 Limitations of Centralized EHR Solutions
2.2 Blockchain Fundamentals: Smart Contracts, Cryptographic Security, Consensus Mechanisms
2.3 Review of Existing Blockchain-Based EHR Models
2.4 Comparative Analysis of Conventional vs Blockchain-Based EHRs
3 Proposed Blockchain-Based EHR Model
3.1 System Architecture
3.2 Data Security and Privacy Mechanisms
3.3 Interoperability and Scalability Solutions
3.4 Patient-Centric Features
4 Implementation and Experimental Setup
4.1 Dataset
4.2 Experimental Setup
4.3 Algorithm Blockchain_EHR_System
5 Result Analysis and Performance Metrics
6 Conclusion
References
Hybrid Learning-Driven Digital Twin Framework for Scalable Industrial Blockchain-Based IoT Data Analytics in the Cloud
1 Introduction
1.1 Challenges
1.2 Contributions of the Paper
2 Background
3 System Model and Architecture
3.1 Overview
3.2 Key Components
4 Proposed Framework
4.1 Federated Learning at the Edge
4.2 Centralized Cloud-Based Learning for Worldwide Efficiency
4.3 Interaction Flow: Coordinated Learning and Digital Twin Updates
4.4 Implementation
4.5 Experimental Setup and Evaluation
5 Conclusion
References
Understanding Principal Component Analysis in Healthcare 5.0 via Case Study
1 Introduction
2 Materials and Methods
2.1 Gathering and Analyzing Data on Water Quality
2.2 Recording and Analyzing Water Quality Information
2.3 Principal Component Analysis (PCA)
3 Results and Discussion
3.1 Evaluation of Drinking Water Potability Using Principal Component Analysis
4 Conclusion
References
Adaptive and Context-Aware Intelligent Transportation Systems Towards Human-Centered Mobility for Society 5.0
1 Introduction
2 Background
3 Framework
4 Proposed Methodology
5 Results and Analysis
5.1 Gathering Information for Training and Simulating Models
6 Challenges and Limitations
7 Conclusion
References
Index
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Blockchain Security

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