Machine Learning Approaches for Convergence of IoT and Blockchain

Machine Learning Approaches for Convergence of IoT and Blockchain

by Krishna Kant Singh, Akansha Singh, Sanjay K. Sharma
Released August 2021
Publisher(s): Wiley-Scrivener
ISBN: 9781119761747

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Book description

The digital revolution is characterized by the convergence of technologies, rapidly advancing the 4th industrial revolution thereby blurring the lines between physical, digital and biological objects. The speed of the fourth revolution which evolves at an exponential rate cannot by any means be compared with any previous technologies. AI and IoT employ the interactions and operations in various fields such as home appliances, autonomous vehicles, nanotechnology, robotics, cognitive systems, self-driving cars and wearable devices. The potential of blockchain technology is realized in many sectors as security plays a crucial role everywhere.

This book deeply discusses two of the most critical emerging fields of machine learning: blockchain technology and the Internet of Things.  

Table of contents

  1. Cover
  2. Title page
  3. Copyright
  4. Preface
  5. 1 Blockchain and Internet of Things Across Industries
    1. 1.1 Introduction
    2. 1.2 Insight About Industry
    3. 1.3 What is Blockchain?
    4. 1.4 What is IoT?
    5. 1.5 Combining IoT and Blockchain
    6. 1.6 Observing Economic Growth and Technology’s Impact
    7. 1.7 Applications of IoT and Blockchain Beyond Industries
    8. 1.8 Conclusion
    9. References
  6. 2 Layered Safety Model for IoT Services Through Blockchain
    1. 2.1 Introduction
    2. 2.2 IoT Applications
    3. 2.3 IoT Model With Communication Parameters
    4. 2.4 Security and Privacy in IoT Services
    5. 2.5 Blockchain Usages in IoT
    6. 2.6 Blockchain Model With Cryptography
    7. 2.7 Solution to IoT Through Blockchain
    8. 2.8 Conclusion
    9. References
  7. 3 Internet of Things Security Using AI and Blockchain
    1. 3.1 Introduction
    2. 3.2 IoT and Its Application
    3. 3.3 Most Popular IoT and Their Uses
    4. 3.4 Use of IoT in Security
    5. 3.5 What is AI?
    6. 3.6 Applications of AI
    7. 3.7 AI and Security
    8. 3.8 Advantages of AI
    9. 3.9 Timeline of Blockchain
    10. 3.10 Types of Blockchain
    11. 3.11 Working of Blockchain
    12. 3.12 Advantages of Blockchain Technology
    13. 3.13 Using Blockchain Technology With IoT
    14. 3.14 IoT Security Using AI and Blockchain
    15. 3.15 AI Integrated IoT Home Monitoring System
    16. 3.16 Smart Homes With the Concept of Blockchain and AI
    17. 3.17 Smart Sensors
    18. 3.18 Authentication Using Blockchain
    19. 3.19 Banking Transactions Using Blockchain
    20. 3.20 Security Camera
    21. 3.21 Other Ways to Fight Cyber Attacks
    22. 3.22 Statistics on Cyber Attacks
    23. 3.23 Conclusion
    24. References
  8. 4 Amalgamation of IoT, ML, and Blockchain in the Healthcare Regime
    1. 4.1 Introduction
    2. 4.2 What is Internet of Things?
    3. 4.3 Machine Learning
    4. 4.4 Role of the Blockchain in the Healthcare Field
    5. 4.5 Conclusion
    6. References
  9. 5 Application of Machine Learning and IoT for Smart Cities
    1. 5.1 Functionality of Image Analytics
    2. 5.2 Issues Related to Security and Privacy in IoT
    3. 5.3 Machine Learning Algorithms and Blockchain Methodologies
    4. 5.4 Machine Learning Open Source Tools for Big Data
    5. 5.5 Approaches and Challenges of Machine Learning Algorithms in Big Data
    6. 5.6 Conclusion
    7. References
  10. 6 Machine Learning Applications for IoT Healthcare
    1. 6.1 Introduction
    2. 6.2 Machine Learning
    3. 6.3 IoT in Healthcare
    4. 6.4 Machine Learning and IoT
    5. 6.5 Conclusion
    6. References
  11. 7 Blockchain for Vehicular Ad Hoc Network and Intelligent Transportation System: A Comprehensive Study
    1. 7.1 Introduction
    2. 7.2 Related Work
    3. 7.3 Connected Vehicles and Intelligent Transportation System
    4. 7.4 An ITS-Oriented Blockchain Model
    5. 7.5 Need of Blockchain
    6. 7.6 Implementation of Blockchain Supported Intelligent Vehicles
    7. 7.7 Conclusion
    8. 7.8 Future Scope
    9. References
  12. 8 Applications of Image Processing in Teleradiology for the Medical Data Analysis and Transfer Based on IOT
    1. 8.1 Introduction
    2. 8.2 Pre-Processing
    3. 8.3 Improved FCM Based on Crow Search Optimization
    4. 8.4 Prediction-Based Lossless Compression Model
    5. 8.5 Results and Discussion
    6. 8.6 Conclusion
    7. Acknowledgment
    8. References
  13. 9 Innovative Ideas to Build Smart Cities with the Help of Machine and Deep Learning and IoT
    1. 9.1 Introduction
    2. 9.2 Related Work
    3. 9.3 What Makes Smart Cities Smart?
    4. 9.4 In Healthcare System
    5. 9.5 In Homes
    6. 9.6 In Aviation
    7. 9.7 In Solving Social Problems
    8. 9.8 Uses of AI-People
    9. 9.9 Difficulties and Profit
    10. 9.10 Innovations in Smart Cities
    11. 9.11 Beyond Humans Focus
    12. 9.12 Illustrative Arrangement
    13. 9.13 Smart Cities with No Differentiation
    14. 9.14 Smart City and AI
    15. 9.15 Further Associated Technologies
    16. 9.16 Challenges and Issues
    17. 9.17 Conclusion and Future Scope
    18. References
  14. Index
  15. End User License Agreement

Product information

  • Title: Machine Learning Approaches for Convergence of IoT and Blockchain
  • Author(s): Krishna Kant Singh, Akansha Singh, Sanjay K. Sharma
  • Release date: August 2021
  • Publisher(s): Wiley-Scrivener
  • ISBN: 9781119761747