Quality Assessment and Security in Industrial Internet of Things

<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>