Читать книгу Machine Learning Approaches for Convergence of IoT and Blockchain - Группа авторов - Страница 2

1  Cover

2  Title page

3  Copyright

4  Preface

5  1 Blockchain and Internet of Things Across Industries 1.1 Introduction 1.2 Insight About Industry 1.3 What is Blockchain? 1.4 What is IoT? 1.5 Combining IoT and Blockchain 1.6 Observing Economic Growth and Technology’s Impact 1.7 Applications of IoT and Blockchain Beyond Industries 1.8 Conclusion References

6  2 Layered Safety Model for IoT Services Through Blockchain 2.1 Introduction 2.2 IoT Applications 2.3 IoT Model With Communication Parameters 2.4 Security and Privacy in IoT Services 2.5 Blockchain Usages in IoT 2.6 Blockchain Model With Cryptography 2.7 Solution to IoT Through Blockchain 2.8 Conclusion References

7  3 Internet of Things Security Using AI and Blockchain 3.1 Introduction 3.2 IoT and Its Application 3.3 Most Popular IoT and Their Uses 3.4 Use of IoT in Security 3.5 What is AI? 3.6 Applications of AI 3.7 AI and Security 3.8 Advantages of AI 3.9 Timeline of Blockchain 3.10 Types of Blockchain 3.11 Working of Blockchain 3.12 Advantages of Blockchain Technology 3.13 Using Blockchain Technology With IoT 3.14 IoT Security Using AI and Blockchain 3.15 AI Integrated IoT Home Monitoring System 3.16 Smart Homes With the Concept of Blockchain and AI 3.17 Smart Sensors 3.18 Authentication Using Blockchain 3.19 Banking Transactions Using Blockchain 3.20 Security Camera 3.21 Other Ways to Fight Cyber Attacks 3.22 Statistics on Cyber Attacks 3.23 Conclusion References

8  4 Amalgamation of IoT, ML, and Blockchain in the Healthcare Regime 4.1 Introduction 4.2 What is Internet of Things? 4.3 Machine Learning 4.4 Role of the Blockchain in the Healthcare Field 4.5 Conclusion References

9  5 Application of Machine Learning and IoT for Smart Cities 5.1 Functionality of Image Analytics 5.2 Issues Related to Security and Privacy in IoT 5.3 Machine Learning Algorithms and Blockchain Methodologies 5.4 Machine Learning Open Source Tools for Big Data 5.5 Approaches and Challenges of Machine Learning Algorithms in Big Data 5.6 Conclusion References

10  6 Machine Learning Applications for IoT Healthcare 6.1 Introduction 6.2 Machine Learning 6.3 IoT in Healthcare 6.4 Machine Learning and IoT 6.5 Conclusion References

11  7 Blockchain for Vehicular Ad Hoc Network and Intelligent Transportation System: A Comprehensive Study 7.1 Introduction 7.2 Related Work 7.3 Connected Vehicles and Intelligent Transportation System 7.4 An ITS-Oriented Blockchain Model 7.5 Need of Blockchain 7.6 Implementation of Blockchain Supported Intelligent Vehicles 7.7 Conclusion 7.8 Future Scope References

12  8 Applications of Image Processing in Teleradiology for the Medical Data Analysis and Transfer Based on IOT 8.1 Introduction 8.2 Pre-Processing 8.3 Improved FCM Based on Crow Search Optimization 8.4 Prediction-Based Lossless Compression Model 8.5 Results and Discussion 8.6 Conclusion Acknowledgment References

13  9 Innovative Ideas to Build Smart Cities with the Help of Machine and Deep Learning and IoT 9.1 Introduction 9.2 Related Work 9.3 What Makes Smart Cities Smart? 9.4 In Healthcare System 9.5 In Homes 9.6 In Aviation 9.7 In Solving Social Problems 9.8 Uses of AI-People 9.9 Difficulties and Profit 9.10 Innovations in Smart Cities 9.11 Beyond Humans Focus 9.12 Illustrative Arrangement 9.13 Smart Cities with No Differentiation 9.14 Smart City and AI 9.15 Further Associated Technologies 9.16 Challenges and Issues 9.17 Conclusion and Future Scope References

14  Index

15  End User License Agreement