Externally indexed torrent

If you are the original uploader, contact staff to have it moved to your account

Textbook in PDF format

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.
Our book starts with a fundamental understanding of IoT systems and their significance in revolutionizing industries such as manufacturing, healthcare, energy, transportation, and beyond. We unravel the complexities surrounding the quality assessment of smart devices, emphasizing the crucial role of parameters like Quality of Service (QoS) in ensuring optimal performance and reliability. Readers will gain valuable insights into assessing, evaluating, and enhancing the quality of smart devices, thereby contributing to the advancement of IIoT ecosystems.
One of the central themes of our book is the critical importance of cybersecurity in IIoT environments. The Industrial Internet of Things (IIoT) has brought about a new era of industrialization that has made manufacturing more efficient, productive, and cost-effective. However, with the growing popularity of IIoT, security concerns have also grown, making the need for secure IIoT systems more critical than ever before. Cyber-attacks, data breaches, device vulnerabilities, and insider threats are just a few security challenges that IIoT systems face. This highlights the urgent need to develop effective security mechanisms to protect IIoT systems against various threats. The Chapter 2 examines the security challenges in IIoT and the computer science-related techniques that can mitigate those challenges. This will be followed by an overview of security, privacy, confidentiality, blockchain, and Machine Learning techniques that can be used to mitigate security challenges.
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.
Contents:
Introduction to Industrial Internet of Things (IIoT) – toward the future internet
Security challenges in the Industrial Internet of Things (IIoT)
Optimizing quality control in IIoT-based manufacturing: leveraging big data analytics and IoT devices for enhanced decision-making strategies
Data wrangling in smart devices
Evaluating quality parameters for smart technologies in healthcare through social media platforms
Security standards of IIoT
Data breaches in sensors through various integration techniques
Intrusion detection system and its types in IoT-enabled devices
IIoT edge network security: addressing spectrum scarcity through intrusion detection systems – a critical review
AI systems’ security issues: case study on data breaches
Blockchain technology, Bitcoin, and IoT
IoT-based Arduino controller On-Load Tap Changer distribution transformer case study
Index