Machine learning approaches for convergence of IoT and Blockchain /
edited by Krishna Kant Singh, Akansha Singh and Sanjay Sharma.
- Hoboken, NJ : Beverly, MA : Wiley ; Scrivener Publishing, 2021.
- 1 online resource (256 p.)
Description based upon print version of record. 5.1 Functionality of Image Analytics.
Includes bibliographical references and index.
Cover -- Half-Title Page -- Series Page -- Title Page -- Copyright Page -- Contents -- Preface -- 1 Blockchain and Internet of Things Across Industries -- 1.1 Introduction -- 1.2 Insight About Industry -- 1.2.1 Agriculture Industry -- 1.2.2 Manufacturing Industry -- 1.2.3 Food Production Industry -- 1.2.4 Healthcare Industry -- 1.2.5 Military -- 1.2.6 IT Industry -- 1.3 What is Blockchain? -- 1.4 What is IoT? -- 1.5 Combining IoT and Blockchain -- 1.5.1 Agriculture Industry -- 1.5.2 Manufacturing Industry -- 1.5.3 Food Processing Industry -- 1.5.4 Healthcare Industry -- 1.5.5 Military 1.5.6 Information Technology Industry -- 1.6 Observing Economic Growth and Technology's Impact -- 1.7 Applications of IoT and Blockchain Beyond Industries -- 1.8 Conclusion -- References -- 2 Layered Safety Model for IoT Services Through Blockchain -- 2.1 Introduction -- 2.1.1 IoT Factors Impacting Security -- 2.2 IoT Applications -- 2.3 IoT Model With Communication Parameters -- 2.3.1 RFID (Radio Frequency Identification) -- 2.3.2 WSH (Wireless Sensor Network) -- 2.3.3 Middleware (Software and Hardware) -- 2.3.4 Computing Service (Cloud) -- 2.3.5 IoT Software 2.4 Security and Privacy in IoT Services -- 2.5 Blockchain Usages in IoT -- 2.6 Blockchain Model With Cryptography -- 2.6.1 Variations of Blockchain -- 2.7 Solution to IoT Through Blockchain -- 2.8 Conclusion -- References -- 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 -- 4 Amalgamation of IoT, ML, and Blockchain in the Healthcare Regime -- 4.1 Introduction 4.2 What is Internet of Things? -- 4.2.1 Internet of Medical Things -- 4.2.2 Challenges of the IoMT -- 4.2.3 Use of IoT in Alzheimer Disease -- 4.3 Machine Learning -- 4.3.1 Case 1: Multilayer Perceptron Network -- 4.3.2 Case 2: Vector Support Machine -- 4.3.3 Applications of the Deep Learning in the Healthcare Sector -- 4.4 Role of the Blockchain in the Healthcare Field -- 4.4.1 What is Blockchain Technology? -- 4.4.2 Paradigm Shift in the Security of Healthcare Data Through Blockchain -- 4.5 Conclusion -- References -- 5 Application of Machine Learning and IoT for Smart Cities
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.