The recent rapid proliferation in hardware, software, and communication technologies has facilitated the spread of interconnected sensors, actuators, and heterogeneous devices to collect data for offering a new class of advanced services characterized by being available anywhere, at any time and for anyone. This ecosystem is referred to as the Internet of Things (IoT). IoT networks collect, store, and exchange a large amount of heterogeneous data. It has already shown promising outcomes in the provisioning of potentially critical services (e.g., safety applications, healthcare, manufacturing), but it raises many challenges related to the security, data analysis, and limited resources of the performed operations and provided services. Accordingly, research on the data analysis and security of IoT is attractive to both industry and academia. Thus, the central theme of this book is to report novel methodologies, theories, technologies, techniques, and solutions for security and data analytics techniques and energy-aware solutions for IoT.

This book aims at addressing these topics across multiple abstraction levels, ranging from architectural models, the provisioning of services, protocols, and interfaces to specific implementation approaches. Furthermore, additional focus will be given to areas related to the role of artificial intelligence in modeling and deploying secure and trustworthy sensors, actuators, and wireless networks for IoT systems. It aims to present the most start-of-the-art technologies to overcome the challenges related to security, data analytics, and energy-aware solutions in the Internet of Things.