Author Description

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