Includes bibliographical references and index.

1. Internet of Things: an overview -- 2. Open source semantic web infrastructure for managing IoT resources in the Cloud -- 3. Device/Cloud collaboration framework for intelligence applications -- 4. Fog computing: principles, architectures, and applications -- 5. Programming frameworks for Internet of Things -- 6. Virtualization on embedded boards as enabling technology for the Cloud of Things -- 7. Micro virtual machines (MicroVMs) for Cloud-assisted cyber-physical systems (CPS) -- 8. Stream processing in IoT: foundations, state-of-the-art, and future directions -- 9. A framework for distributed data analysis for IoT -- 10. Security and privacy in the Internet of Things -- 11. Internet of Things: robustness and reliability -- 12. Governing Internet of Things: issues, approaches, and new paradigms -- 13. TinyTO: two-way authentication for constrained devices in the Internet of Things -- 14. Obfuscation and diversification for securing the Internet of Things (IoT) -- 15. Applied Internet of Things -- 16. Internet of vehicles and applications -- 17. Cloud-based smart-facilities management.

"Internet of Things: Principles and Paradigms captures the state-of-the-art research in Internet of Things, its applications, architectures, and technologies. The book identifies potential future directions and technologies that facilitate insight into numerous scientific, business, and consumer applications. The Internet of Things (IoT) paradigm promises to make any electronic devices part of the Internet environment. This new paradigm opens the doors to new innovations and interactions between people and things that will enhance the quality of life and utilization of scarce resources. To help realize the full potential of IoT, the book addresses its numerous challenges and develops the conceptual and technological solutions for tackling them. These challenges include the development of scalable architecture, moving from closed systems to open systems, designing interaction protocols, autonomic management, and the privacy and ethical issues around data sensing, storage, and processing. Addresses the main concepts and features of the IoT paradigm ; Describes different architectures for managing IoT platforms ; Provides insight on trust, security, and privacy in IoT environments ; Describes data management techniques applied to the IoT environment ; Examines the key enablers and solutions to enable practical IoT systems ; Looks at the key developments that support next generation IoT platforms Includes input from expert contributors from both academia and industry on building and deploying IoT platforms and applications"--Provided by publisher.

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