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.

Unique selling point: • This is the first book to explain various practical attacks and countermeasures to AI systems Core audience: • AI/ML/DL engineers and scientists in the industry of vehicles, robots, smart city, intelligent transportation Place in the market: • It provides the multiple solution spaces to the security and privacy issues in AI tools

In the treatment of chronic diseases, wireless Implantable Medical Devices (IMDs) are commonly used to communicate with an outside programmer (reader). Such communication raises serious security concerns, such as the ability for hackers to gain access to a patient's medical records. This brief provides an overview of such attacks and the new security challenges, defenses, design issues, modeling and performance evaluation in wireless IMDs. While studying the vulnerabilities of IMDs and corresponding security defenses, the reader will also learn the methodologies and tools for designing security schemes, modeling, security analysis, and performance evaluation, thus keeping pace with quickly-evolving wireless security research.

Internet of things networks have shown promising outcomes in the provisioning of potentially critical services such as safety applications, healthcare, and manufacturing. However, there are many challenges related to the security, data analysis, and limited resources of the performed operations that require further investigation. Additional research is necessary to address the concerns and doubts of researchers and industry professionals in the Internet of Things. Security, Data Analytics, and Energy-Aware Solutions in the IoT reports novel methodologies, theories, technologies, and solutions for security and data analytics techniques and energy-aware solutions for the Internet of Things. Covering a wide range of topics such as laser attacks and personal data, it is ideal for academicians, industry professionals, researchers, instructors, and students.