Advancements in IoT Sensors and Security

This book uncovers and presents insights into the intersecting realms of IoT sensors and AI/ML technologies, providing a unique opportunity for researchers and developers to contribute to progress in these fields. By exploring methods, applications, and similar aspects, it sheds light on how these technologies will continue to shape and impact our lives.

Addresses implementation issues and challenges in the real-time adoption of multi-sensors IoT and AI/ML advancements Emphasizes the significance of coupling IoT and AI/ML across health care, agriculture, and assistive technologies Showcases multi-sensors IoT and AI/ML case studies, innovative applications, and future potential

Inhalt

Foundations of IoT, Security, and AI/ML Integration.- A Study of Security in IoT Enabled Wireless Sensor Systems: Its Features, Architectures, Communications and Application Perspectives.- Strategic Approaches to Efficient Data Aggregation and Malicious Node Detection in IoT-Enabled Healthcare Systems.- Implications of Generative AI on IoT Security: A Dual Perspective.- INDOOR LOCALIZATION AND HEADING ESTIMATION LEVERAGING MACHINE LEARNING ALGORITHMS WITH WI-FI FINGERPRINTS AND SENSOR DATA.- Using Machine Learning for Mutual Coupling Compensation in Strongly Coupled Arrays.