Download Quality Assessment and Security in Industrial IoT by Sudan Jha(.ePUB)+

Quality Assessment and Security in Industrial Internet of Things by Sudan Jha, Sarbagya Ratna Shakya, ­Sultan ­Ahmad, Zhaoxian Zhou
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Overview: 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.
Genre: Non-Fiction > Tech & Devices

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Contents:
1 Introduction to Industrial Internet of Things (IIoT) – toward the future internet
2 Security challenges in the Industrial Internet of Things (IIoT)
3 Optimizing quality control in IIoT-based manufacturing: leveraging big data analytics and IoT devices for enhanced decision-making strategies
4 Data wrangling in smart devices
5 Evaluating quality parameters for smart technologies in healthcare through social media platforms
6 Security standards of IIoT
7 Data breaches in sensors through various integration techniques
8 Intrusion detection system and its types in IoT-enabled devices
9 IIoT edge network security: addressing spectrum scarcity through intrusion detection systems – a critical review
10 AI systems’ security issues: case study on data breaches
11 Blockchain technology, Bitcoin, and IoT
12 IoT-based Arduino controller On-Load Tap Changer distribution transformer case study

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