This book highlights authentication and trust evaluation models in the Industrial Internet of Things. It further discusses data breaches and security issues in various Artificial Intelligence-enabled systems and uses Blockchain to resolve the challenges faced by the Industrial Internet of Things. The text showcases performance quality assessment for the Industrial Internet of Things’ applications.

This book:

Discusses and evaluates different quality assessment systems and authentication of smart devices.
Addresses data handling, data security, confidentiality, and integrity of data in the Industrial Internet of Things.
Focuses on developing framework and standardization of quality assessment for diverse Internet of Things-enabled devices.
Explains the designing, developing, and framing of smart machines, that are equipped with tools for tracking and logging data to provide advanced security features.
Presents the convergence of the Internet of Things toward Industry 4.0 through quality assessment via analyzing data security and identifying vulnerabilities.

It is primarily written for graduate students and academic researchers in the fields of electrical engineering, electronics, and communications engineering, industrial and production engineering, computer science, and engineering.