This new volume discusses how integrating IoT devices and cyber-physical systems can help society by providing multiple efficient and affordable services to users. It covers the various applications of IoT-based cyber-physical systems, such as satellite imaging in relation to climate change, industrial control systems, e-healthcare applications, security uses, automotive and traffic monitoring and control, urban smart city planning, and more. The authors also outline the methods, tools, and algorithms for IoT-based cyber-physical systems and explore the integration of machine learning, blockchain, and Internet of Things-based cloud applications.
With the continuous emerging new technologies and trends in IoT technology and CPS, this volume will be a helpful resource for scientists, researchers, industry professionals, faculty and students, and others who wish to keep abreast of new developments and new challenges for sustainable development in Industry 4.0.
Table of Contents:
PART 1: A Journey for Understanding the Internet of Things and Cyber-Physical Systems 1. Overview of the Role of Internet of Things and Cyber-Physical Systems in Various Applications 2. Role of Internet of Things and Cyber-Physical Systems in Applications in Various Sectors 3. Comparative Case Study on Smart City versus Digital City PART 2: Methods, Tools, and Algorithms for IoT-Based Cyber-Physical Systems 4. Securing Future Autonomous Applications Using Cyber-Physical Systems and the Internet of Things 5. Emerging Trends and Techniques in Machine Learning and Internet of Things-Based Cloud Applications 6. An Efficient Implementation of a Blockchain-Based Smart Grid 7. An Integration Approach of an IoT and Cyber-Physical System for Security Perspective 8. Path Planning and Optimization PART 3: Future with the Internet of Things and Cyber-Physical Systems 9. Smart Cities and Urbanization: The Urge of Machine Learning and IoT 10. Need for Lightweight Attribute-Based Encryption (ABE) for Cloud-Based IoT 11. Internet of Things (IoT)-Enabled Smart Bus Information System PART 4: Future Roadmap and Opportunities with Internet of Things-Based Systems 12. A Roadmap Towards Robust IoT-Enabled Cyber-Physical Systems in Cyber Industrial 4.0 13. Machine Learning-Based Intrusion Detection for Internet of Things Network Traffic 14. A New Compromising Security Framework for Automated Smart Homes Using VAPT 15. Maneuvered Network Traffic Profiling PART 5: Security Requirements and Issues with the Internet of Things and Cyber-Physical Systems 16. Security Enhancement and Trust Management Algorithm in D2D (VANET) for 5G-Based Network 17. Addressing the Security, Privacy, and Trust Issues in IoT-Enabled CPS 18. Security and Privacy Aspects in the Internet of Things (IoT) and Cyber-Physical Systems (CPS) 19. Security Outlook of IoT-Cloud Integration with 5G Networks 20. Security Threats in IoT with Special Emphasis on Blockchain PART 6: Challenges in the Future for the Internet of Things and Cyber-Physical Systems 21. Challenges for Sustainable Development in Industry 4.0 22. Opportunities and Challenges of Cyber-Physical Transportation Systems 23. Data Science and Data Analytics for IoT Tools c
About the Author :
Amit Kumar Tyagi, PhD, is Senior Assistant Professor and Senior Researcher at the Vellore Institute of Technology, Chennai Campus, India. He was formerly affiliated with the Lord Krishna College of Engineering, Ghaziabad, India, and was formerly an Assistant Professor and Head of Research at Lingaya’s Vidyapeeth (formerly known as Lingaya’s University), Faridabad, Haryana, India. His current research focuses on machine learning with big data, blockchain technology, data science, cyber-physical systems, smart and secure computing, and privacy. He has contributed to several projects such as AARIN and P3-Block to address some of the open issues related to the privacy breaches in vehicular applications (such as parking) and medical cyber-physical systems. Also, he has published more than eight patents related to deep learning, Internet of Things, cyber-physical systems, and computer vision. Dr. Tyagi received his PhD degree from Pondicherry Central University, India.
Niladhuri Sreenath, PhD, is Professor of the Department of Computer Science and Engineering at Puducherry Technological University, Puducherry, Tamil Nadu, India. His primary research interests lie in WDM optical networks and privacy and trust. He has published several journal articles, conferences papers, and book chapters. He obtained his PhD in Computer Science from the Indian Institute of Technology, Madras, India.
