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MACHINE LEARNING APPROACHES FOR CONVERGENCE OF IOT AND BLOCKCHAIN
The unique aspect of this book is that its focus is the convergence of machine learning, IoT, and blockchain in a single publication.
Blockchain technology and the Internet of Things (IoT) are two of the most impactful trends to have emerged in the field of machine learning. Although there are a number of books available solely on the subjects of machine learning, IoT and blockchain technology, no such book has been available which focuses on machine learning techniques for IoT and blockchain convergence until now. Thus, this book is unique in terms of the topics it covers. Designed as an essential guide for all academicians, researchers, and those in industry who are working in related fields, this book will provide insights into the convergence of blockchain technology and the IoT with machine learning.
Highlights of the book include:
* Examines many industries such as agriculture, manufacturing, food production, healthcare, the military, and IT
* Security of the Internet of Things using blockchain and AI
* Developing smart cities and transportation systems using machine learning and IoT
Audience
The target audience of this book is professionals and researchers (artificial intelligence specialists, systems engineers, information technologists) in the fields of machine learning, IoT, and blockchain technology.
List of contents
Preface xi
1 Blockchain and Internet of Things Across Industries 1
Ananya Rakhra, Raghav Gupta and Akansha Singh
1.1 Introduction 1
1.2 Insight About Industry 3
1.2.1 Agriculture Industry 5
1.2.2 Manufacturing Industry 5
1.2.3 Food Production Industry 6
1.2.4 Healthcare Industry 7
1.2.5 Military 7
1.2.6 IT Industry 8
1.3 What is Blockchain? 8
1.4 What is IoT? 11
1.5 Combining IoT and Blockchain 14
1.5.1 Agriculture Industry 15
1.5.2 Manufacturing Industry 17
1.5.3 Food Processing Industry 18
1.5.4 Healthcare Industry 20
1.5.5 Military 21
1.5.6 Information Technology Industry 24
1.6 Observing Economic Growth and Technology's Impact 25
1.7 Applications of IoT and Blockchain Beyond Industries 28
1.8 Conclusion 32
References 33
2 Layered Safety Model for IoT Services Through Blockchain 35
Anju Malik and Bharti Sharma
2.1 Introduction 36
2.1.1 IoT Factors Impacting Security 38
2.2 IoT Applications 39
2.3 IoT Model With Communication Parameters 40
2.3.1 RFID (Radio Frequency Identification) 40
2.3.2 WSH (Wireless Sensor Network) 40
2.3.3 Middleware (Software and Hardware) 40
2.3.4 Computing Service (Cloud) 41
2.3.5 IoT Software 41
2.4 Security and Privacy in IoT Services 41
2.5 Blockchain Usages in IoT 44
2.6 Blockchain Model With Cryptography 44
2.6.1 Variations of Blockchain 45
2.7 Solution to IoT Through Blockchain 46
2.8 Conclusion 50
References 51
3 Internet of Things Security Using AI and Blockchain 57
Raghav Gupta, Ananya Rakhra and Akansha Singh
3.1 Introduction 58
3.2 IoT and Its Application 59
3.3 Most Popular IoT and Their Uses 61
3.4 Use of IoT in Security 63
3.5 What is AI? 64
3.6 Applications of AI 65
3.7 AI and Security 66
3.8 Advantages of AI 68
3.9 Timeline of Blockchain 69
3.10 Types of Blockchain 70
3.11 Working of Blockchain 72
3.12 Advantages of Blockchain Technology 74
3.13 Using Blockchain Technology With IoT 74
3.14 IoT Security Using AI and Blockchain 76
3.15 AI Integrated IoT Home Monitoring System 78
3.16 Smart Homes With the Concept of Blockchain and AI 79
3.17 Smart Sensors 81
3.18 Authentication Using Blockchain 82
3.19 Banking Transactions Using Blockchain 83
3.20 Security Camera 84
3.21 Other Ways to Fight Cyber Attacks 85
3.22 Statistics on Cyber Attacks 88
3.23 Conclusion 90
References 90
4 Amalgamation of IoT, ML, and Blockchain in the Healthcare Regime 93
Pratik Kumar, Piyush Yadav, Rajeev Agrawal and Krishna Kant Singh
4.1 Introduction 93
4.2 What is Internet of Things? 95
4.2.1 Internet of Medical Things 97
4.2.2 Challenges of the IoMT 97
4.2.3 Use of IoT in Alzheimer Disease 99
4.3 Machine Learning 100
4.3.1 Case 1: Multilayer Perceptron Network 101
4.3.2 Case 2: Vector Support Machine 102
4.3.3 Applications of the Deep Learning in the Healthcare Sector 103
4.4 Role of the Blockchain in the Healthcare Field 104
4.4.1 What is Blockchain Technology? 104
4.4.2 Paradigm Shift in the Security of Healthcare Data Through Blockchain 105
4.5 Conclusion 106
References 106
About the author
Krishna Kant Singh is an associate professor in the Faculty of Engineering & Technology, Jain (Deemed-to-be University), Bengaluru, India. Dr. Singh has acquired BTech, MTech, and PhD (IIT Roorkee) in the area of machine learning and remote sensing. He has authored more than 50 technical books and research papers in international conferences and SCIE journals.
Akansha Singh is an associate professor in the Department of Computer Science Engineering in Amity University, Noida, India. Dr. Singh has acquired BTech, MTech, and PhD (IIT Roorkee) in the area of neural networks and remote sensing. She has authored more than 40 technical books and research papers in international conferences and SCIE journals. Her area of interest includes mobile computing, artificial intelligence, machine learning, digital image processing.
Sanjay Kumar Sharma PhD is professor and Head in the Department of Electronics and Communication Engineering at KIET Group of Institutions. Dr. Sanjay Sharma has a total of 24 years of teaching and research experience. He has more than 45 publications in journals and international conferences.
Summary
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.
