
Machine Learning and Blockchain - Challenges, Future Trends and Sustainable Technologies
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Content
- Cover
- Title
- Copyright
- End User License Agreement
- Contents
- Preface
- List of Contributors
- Blockchain: A Sustainable Technology
- Renu Singh1,*, Ashlesha Gupta1 and Poonam Mittal1
- INTRODUCTION TO BLOCKCHAIN
- History of Blockchain
- Centralized
- Decentralized
- Distributed
- What is Blockchain?
- Fundamentals of Blockchain Technology
- Transaction
- Block
- Categories of Blockchain Structure
- Public Blockchain
- Private Blockchain
- Consortium/ Federated Blockchain
- Characteristics of Blockchain
- Decentralization
- Immutability
- Persistency
- Security
- Capacity
- Anonymity
- Auditability
- Architecture of Blockchain
- Block
- Digital Signature
- Workflow of the Blockchain Process
- Components of Blockchain
- Transactions
- Node
- Wallet
- Nonce
- Cryptography
- Hash
- Consensus Algorithm
- Versions of Blockchain
- Blockchain Version 1.0 (Cryptocurrency)
- Blockchain Version 2.0 (Smart Contracts)
- Blockchain Version 3.0 (DApps)
- Blockchain Protocols
- Proof-of-work (PoW)
- Proof-of-stake (PoS)
- Applications of Blockchain
- Blockchain in the Financial Domain
- Blockchain in Healthcare
- Blockchain for Unmanned Aerial Vehicles (UAVs)
- CONCLUSION AND FUTURE SCOPE
- REFERENCES
- Mapping of Blockchain Technology with the Indian Fintech Sector for Securing Financial Operations
- Khushwant Singh1,*, Mohit Yadav2, Yudhvir Singh1 and Dheerdhwaj Barak3
- INTRODUCTION
- Existing Fintech Sector in India
- Potential Solution Using Proposed System
- Proposed Methodology
- USE CASES FOR BLOCKCHAIN IN FINTECH
- Payment Processing and Peer-to-Peer Lending
- Identity Verification and Supply Chain Finance
- BENEFITS OF THE SYSTEM
- Payments and Trade Finance
- Crypto Lending and Digital Identity
- CHALLENGES ASSOCIATED WITH BLOCKCHAIN
- CONCLUSION
- REFERENCES
- Blockchain Technology and Smart Contracts for Financial Transactions in Virtual Environments
- Pooja Sharma1, Sangeet Vashishtha1,*, Neeraj Saxena2 and Shruti Saxena2
- INTRODUCTION
- Predictive Analytics
- Fraud Detection
- Automated Audits and Reporting
- Natural Language Processing (NLP) for Contract Interpretation
- Traditional Contracts vs. Smart Contracts
- Real Estate Purchase Agreement
- Example of Smart Contract
- Hybrid Approach Example
- Impact of Blockchain-Based Smart Contracts
- Increased Efficiency:
- Enhanced Security
- Transparency and Trust
- Global Accessibility
- Innovation and Disruption
- Decentralization and Democratization
- Compliance and Governance
- BLOCKCHAIN TECHNOLOGY: FOUNDATIONS AND KEY CONCEPTS
- Decentralization and Distributed Ledger
- Immutable Record through Cryptography
- Consensus Mechanisms
- Smart Contracts
- Transparency and Pseudonymity
- Tokenization
- SMART CONTRACTS: SIGNIFICANT BREACHES AND VULNERABILITIES
- Example 1: The DAO Hack (2016)
- Example 2: Parity Wallet MultiSig Bug (2017)
- Example 3: KuCoin Exchange Hack (2020)
- Example 4: bZx Flash Loan Attack (2020)
- Example 5: Cream Finance Exploit (2021)
- Example 6: Ronin Network Hack (2022)
- PERFORMANCE METRICS AND BENCHMARKS FOR SMART CONTRACT EXECUTION
- Efficiency Metrics
- Cost Metrics
- Security Metrics
- Interoperability in Blockchain Technology and Smart Contracts for Financial Transactions in Virtual Environments
- Key Interoperability Challenges in Financial Transactions
- Solutions for Achieving Interoperability in Financial Transactions
- Importance in Virtual Financial Environments
- APPLICATIONS OF BLOCKCHAIN TECHNOLOGY IN VIRTUAL FINANCE
- REIMAGINING BUSINESS PROCESSES THROUGH BLOCKCHAIN AND SMART CONTRACTS
- INDUSTRIES BENEFITING FROM SMART CONTRACTS: PRACTICAL IMPLEMENTATION AND ADVANTAGES
- INSURANCE
- ADVANTAGES
- REAL ESTATE
- ADVANTAGES
- SUPPLY CHAIN AND LOGISTICS
- ADVANTAGES
- HEALTHCARE
- ADVANTAGES
- SMART CONTRACTS: ENABLING AUTOMATED VIRTUAL FINANCIAL TRANSACTIONS
- Understanding Smart Contracts
- Decentralized Execution
- Transparency and Immutability
- Trustless Transactions
- Cost Efficiency and Speed
- Programmable Financial Logic
- BENEFITS AND CHALLENGES OF BLOCKCHAIN AND SMART CONTRACTS IN VIRTUAL FINANCE
- Benefits
- Challenges
- FUTURE PROSPECTS AND CONCLUSION
- Future Prospects
- CONCLUSION
- REFERENCES
- Blockchain: Use of Smart Contracts in Finance
- Ambika R. Thakur1, Chetna Tiwari1, Kartikey Vats1 and Garima Sharma1,*
- INTRODUCTION
- BLOCKCHAIN
- Architecture of Blockchain
- Blocks
- Consensus Mechanism
- Cryptographic Hashing
- Decentralized Ledger
- Nodes
- Working of Blockchain
- Applications of Blockchain in the Financial Sector
- Cryptocurrencies and Digital Assets
- Cross-Border Payments
- Trade Finance
- Identity Verification
- Stock Trading and Settlement
- Regulatory Compliance
- Tokenization of Assets
- Central Bank Digital Currencies (CBDC)
- Peer-to-Peer Lending
- SMART CONTRACT
- Architecture of Smart Contracts
- Trading and Transaction Rules
- Key Aspects of Transaction Rules
- Power and Responsibility Analysis
- Key Elements of Rights and Responsibilities Analysis
- Reward and Punishment Mechanism
- Key Elements of the Reward and Punishment Mechanism
- Data Traceability
- Working on Smart Contracts
- Applications of Smart Contract
- Loan Agreements
- Derivatives Trading
- Insurance Claims Processing
- Token Offerings (ICOs/STOs)
- Mortgage Agreements
- Tokenization of Assets
- Royalty Agreements
- Cross-Border Payments
- P2P Lending and Crowdfunding
- SYMBIOTIC RELATIONSHIP BETWEEN BLOCKCHAIN TECHNOLOGY AND SMART CONTRACTS
- BENEFITS
- CHALLENGES
- COMPARISON BETWEEN TRADITIONAL FINANCE SYSTEM AND BLOCKCHAIN-BASED FINANCE SYSTEM
- CONCLUDING REMARKS
- REFERENCES
- Blockchain in Agricultural Information Systems and Networks: Foundation and Future Potentialities - A Scientific Review
- P. K. Paul1,*, M. Kayyali2, Nilanjan Das3 and Ritam Chatterjee1
- INTRODUCTION
- WORK OBJECTIVE AND AIM
- METHODS
- Related Existing Works
- BASICS OF BLOCKCHAIN AND ML: THE STORY BEHIND BLOCKCHAIN IN THE AGRO FIELD
- Technologies in Supply Chain Management and Agriculture
- Blockchain Technology in Agriculture
- Machine Learning in Agriculture
- Agriculture as a Career and the Role of Technology
- AGRO INFORMATICS AND AGRICULTURE 4.0 FOR SOPHISTICATED AGRO DEVELOPMENT
- FUNDAMENTALS AND EMERGING BLOCKCHAIN APPLICATIONS IN THE AGRICULTURAL SECTOR
- Blockchain Technologies in Agro and Food Sectors
- Blockchain with Machine Learning Technologies in Improving Supply Chain Management in Agriculture
- Blockchain Applications and Agro Enhancement
- Enhanced Transparency and Traceability
- Improved Efficiency and Cost Reduction
- Increased Security and Fraud Prevention
- Empowerment of Small-Scale Farmers
- Machine Learning Applications in the Agricultural Sector
- ISSUES, CHALLENGES, AND PROBABLE SOLUTIONS IN AGRO MANAGEMENT USING BLOCKCHAIN SYSTEMS AND MACHINE LEARNING
- Core Challenges of ML in Agriculture
- Future Potentials of Blockchain & Machine Learning-Supported Agricultural Systems
- CONCLUDING REMARKS
- REFERENCES
- Deep Learning-based Intrusion Detection System for IoT-based Blockchain System
- J. Jayaganesh1,*, Sreenivas Mekala2, M. Kalyan Chakravarthi3, R. Sundarrajan4, Belsam Jeba Ananth M.5, Mohit Tiwari6 and Manika Manwal7
- INTRODUCTION
- Research Objective
- Scope and Limitations of Study
- LITERATURE REVIEW
- Internet of Things Definition
- IoT Security Issues and Existing Intrusion Detection Methods
- IoT Security Vulnerabilities
- Attack by Remote Control
- Bricking Attack
- Weaponization of Devices
- Attack using Wormhole Tunnel
- Enhanced Rank Attack on RPL
- Attacks Using Sinkholes
- Attack by Ballot Stuffing
- Attacks using Opportunistic Services
- Attacks that Distribute Denial of Service
- Botnet Participation
- Ransomware
- METHODOLOGY
- Network Architecture
- Architecture of the System
- Deep Learning-based Detection
- Anomaly Detection based on Deep Learning
- Algorithm 1: Deep learning-based intrusion detection model.
- RESULTS
- Blackhole Attack
- Opportunistic Service Attack
- DDoS Attack
- Sinkhole Attack
- Wormhole Attack
- DISCUSSION
- Analysis
- CONCLUSION
- REFERENCES
- E-analysis and Notarization of Social Media based on Blockchain Technology
- K. Santhanalakshmi1,*, G. Madhumita2, Martin Selvakumar Mohanan3, Sathish Kumar R.4, Belsam Jeba Ananth M.5, Subhrajit Chanda6 and Gunjan Chhabra7
- INTRODUCTION
- Objective of Study
- LITERATURE REVIEW
- Notarization
- History of Blockchain
- Attack using False Data
- Social Media Security based on Blockchain
- METHODOLOGY
- Notarization Approach
- Approach for Proof of Credibility (POC)
- RESULTS
- Proof-of-concept
- PoC Results
- CONCLUSION
- REFERENCES
- Development of Smart City using Blockchain and Artificial Intelligence
- Chetan Shelke1,*, Preeti Gupta2, Binod Kumar3, Abhijeet Kaiwade4, Belsam Jeba Ananth M.5, Sumeet Gupta6 and Satvik Vats7
- INTRODUCTION
- Study Objective
- LITERATURE REVIEW
- A Sneak Peek at the Two Business Plans
- AI Business Model
- Blockchain Business Model
- The Business Models' Effect
- An Overview of Smart Cities and Emerging Markets
- METHODOLOGY
- Qualitative Methodology
- The Quantitative Method
- Population Target
- Research Instrumentation
- Analyzing Data
- Ethical Consideration
- RESULTS
- Blockchain and AI's Contributions to Business Development
- Modern Businesses' Readiness to Adopt Blockchain and AI Technologies
- Obstacles in the Adoption of Blockchain and AI Technology
- Contributions, both Theoretical and Practical
- CONCLUSION
- REFERENCES
- Blockchain, Big Data, and Deep Learning-based Fraud Detection System for Credit Card Fraud
- Nur Mohammad Ali Chisty1,*, Shweta Gakhreja2, Yogita Satish Garwal2, Belsam Jeba Ananth M.3, Tripti Tiwari4, Dharamvir5 and Kamreed Udham Singh6
- INTRODUCTION
- LITERATURE REVIEW
- METHODOLOGY
- Pre-applying Phase
- Implementing Phase
- LSTM Variables and Performance Measurements
- The Post-applying Phase
- Database of Credit Card Fraud Detection
- Research Setup
- RESULTS
- Research Outcomes
- Result Assessment
- Comparison with Other DL Algorithms
- Comparing with Current ML-based Methods
- CONCLUSION
- REFERENCES
- IoT-driven Blockchain System for Prediction of Heart Disease Using Smart Healthcare Monitoring Deep Learning Model
- Mrunal K. Pathak1,*, Shaik Balkhis Banu2, Anupama Chadha3, Gaurav Kumar4, Shashi Kant Mishra5, Tarun Jaiswal6 and Vikrant Sharma7
- INTRODUCTION
- LITERATURE REVIEW
- METHODOLOGY
- Data Collection Layer
- Data Preprocessing Layer
- FIS
- Prediction Data Layer
- RNN
- LSTM
- Research Setup
- Performance Assessment
- RESULTS
- CONCLUSION
- REFERENCES
- Adoption of Machine Learning Techniques in Smart Applications based on Blockchain Technology
- K.M. Rashmi1,*, Balraj Kumar2, K.T. Thilagham3, Harish Kumar4, S. Aswath5, Mohit Tiwari6 and Rahul Chauhan7
- INTRODUCTION
- LITERATURE REVIEW
- METHODOLOGY
- Adoption of Blockchain and DRL in Smart House
- DRL
- Blockchain-Based Gateway System for Smart Houses
- RESULTS
- Study Setup
- Data
- Performance of the Blockchain Architecture in Smart Houses
- Performance of DRL in Smart Houses
- CONCLUSION
- REFERENCES
- Subject Index
- Back Cover
List of Contributors
Ambika R. Thakur Department of Computer Science and Engineering, The NorthCap University, Gurugram, India
Abhijeet Kaiwade Institute of Management and Research., Abhinav Education Society's Institute of Management and Research, Pune, India
Anupama Chadha Department of Computer Applications, Manav Rachna International Institute of Research and Studies, Faridabad, India
Belsam Jeba Ananth M. Department of Mechatronics Engineering, SRM Institute of Science and Technology, Kattankulathur, India
Binod Kumar Department of Computer Applications, JSPM's Rajarshi Shahu College of Engineering, Pune, India
Balraj Kumar School of Computer Application, Lovely Professional University, Phagwara, Punjab, India
Chetna Tiwari Department of Computer Science and Engineering, The NorthCap University, Gurugram, India
Chetan Shelke Alliance College of Engineering and Design, Alliance University, Bangalore, India
Dharamvir Department of Computer Application, The Oxford College of Engineering, Bengaluru, India
Dheerdhwaj Barak Department of Computer Science & Engineering, Vaish College of Engineering, Rohtak, India
G. Madhumita Department of Management Studies, Vels Institute of Science Technology and Advanced Studies (VISTAS), Chennai, India
Garima Sharma Department of Computer Science and Engineering, The NorthCap University, Gurugram, India
Gunjan Chhabra Department of Computer Science and Engineering, Graphic Era Hill University, Dehradun, India
Gaurav Kumar School of Computer Application, Lovely Professional University, Phagwara, Punjab, India
Harish Kumar Department of Computer Science, King Khalid University, Abha, Saudi Arabia
J. Jayaganesh Department of Computer Science, Government Arts and Science College Perumbakkam, Chennai, India
K. Santhanalakshmi Faculty of Management, SRM Institute of Science and Technology, Kattankulathur, India
Kamreed Udham Singh School of Computing, Graphic Era Hill University, Dehradun, India
K.M. Rashmi Department of Electronics and Communication Engineering, Manipal Institute of Technology, Manipal Academy of Higher Education, Bengaluru, Manipal, Karnataka, India
K.T. Thilagham Department of Metallurgical Engineering, Government College of Engineering Salem, Salem, India
Khushwant Singh Department of Computer Science & Engineering, University Institute of Engineering and Technology, Maharshi Dayanand University, Rohtak, India
Kartikey Vats Department of Computer Science and Engineering, The NorthCap University, Gurugram, India
Mohit Yadav Department of Mathematics, University Institute of Sciences, Chandigarh University, Mohali, India
M. Kayyali Department of Quality Assurance and Accreditation Directorate, Al Maaref University of Applied Sciences, Sarmada, Syria
M. Kalyan Chakravarthi School of Electronic Engineering, Vellore Institute of Technology, Amaravathi, Andhra Pradesh, India
Manika Manwal Department of Computer Science and Engineering, Graphic Era Hill University, Dehradun, India
Martin Selvakumar Mohanan Department of Organization & Human Resource Management, Great Lakes Institute of Management, Chennai, India
Mohit Tiwari Department of Computer Science and Engineering, Bharati Vidyapeeth's College of Engineering, Delhi, India
Neeraj Saxena Sandip University, Nashik, India
Nilanjan Das Siliguri Institute of Technology, Siliguri, India
Nur Mohammad Ali Chisty Cyber Crime Wing, Anti-Terrorism Unit, Bangladesh Police, Dhaka, Bangladesh
Pooja Sharma IIMT University, Meerut, India
P. K. Paul Department of Computer & Information Science, Raiganj University, Raiganj, India
Preeti Gupta Department of Computer Science and Engineering, Jain University (Deemed-to-be-University), Bangalore, India
Poonam Mittal Faculty of Informatics and Computing, J.C. Bose University of Science and Technology, YMCA, Faridabad, India
Renu Singh Faculty of Informatics and Computing, J.C. Bose University of Science and Technology, YMCA, Faridabad, India
Ritam Chatterjee Department of Computer & Information Science, Raiganj University, Raiganj, India
R. Sundarrajan Department of Information Techology, Kalasalingam Academy of Research and Education (Deemed to be University), Virudhunagar, India
Rahul Chauhan Department of Computer Science, Graphic Era Hill University, Graphic Era Deemed to be University, Dehradun, Uttarakhand-248007, India
Sangeet Vashishtha IIMT University, Meerut, India
Sreenivas Mekala Department of Information Technology, Sreenidhi Institute of Science & Technology, Hyderabad, India
Sathish Kumar R. Department of Artificial Intelligence and Machine Learning, Faculty of Engineering and Technology, Jain University (Deemed-to-be-University), Bengaluru, India
Subhrajit Chanda Jindal Global Law School, OP Jindal Global University, Sonipat, India
Sumeet Gupta Global Economics and Finance Cluster, School of Business, University of Petroleum and Energy Studies, Dehradun, India
Satvik Vats Department of Computer Science and Engineering, Graphic Era Hill University, Dehradun, India
Shweta Gakhreja Manipal University Jaipur, Jaipur, India
S. Aswath Department of Electronics & Communication Engineering, Vel Tech Rangarajan Dr Sagunthala R&D Institute of Science and Technology, Chennai, India
... Shaik Balkhis Banu Department of Physiotherapy, Fatima College of Health Sciences, Al Ain, UAE
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