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AI Models for Blockchain-Based Intelligent Networks in IoT Systems

Concepts, Methodologies, Tools, and Applications

  • Book
  • © 2023

Overview

Editors:
  1. Bharat Bhushan

    1. Department of Computer Science and Engineering, School of Engineering and Technology, Sharda University, Greater Noida, India

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  2. Arun Kumar Sangaiah

    1. School of Computing Science and Engineering, Vellore Institute of Technology, Vellore, India

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    You can also search for this editor in PubMed   Google Scholar

  3. Tu N. Nguyen

    1. Intelligent Systems Laboratory (ISL), Department of Computer Science, Kennesaw State University, Marietta, USA

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    You can also search for this editor in PubMed   Google Scholar

  • Improves the awareness of readers about merging Blockchain Technology and AI for intelligent IoT systems
  • Includes recent development and new models related to AI-powered blockchain models for intelligent IoT systems
  • Creates interest for readers dealing with multifarious aspects of data privacy and security enhancement in IoT systems

Part of the book series: Engineering Cyber-Physical Systems and Critical Infrastructures (ECPSCI, volume 6)

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Table of contents (16 chapters)

  1. Front Matter

    Pages i-xi
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  2. From Smart Devices to Smarter Systems: The Evolution of Artificial Intelligence of Things (AIoT) with Characteristics, Architecture, Use Cases and Challenges

    • Veena Parihar, Ayasha Malik, Bhawna, Bharat Bhushan, Rajasekhar Chaganti
    Pages 1-28

  3. AI Enabled Human and Machine Activity Monitoring in Industrial IoT Systems

    • Anindita Saha, Jayita Saha, Manjarini Mallik, Chandreyee Chowdhury
    Pages 29-54

  4. AI Model for Blockchain Based Industrial IoT and Big Data

    • Lipsa Das, Vimal Bibhu, Rajasvaran Logeswaran, Khushi Dadhich, Bhuvi Sharma
    Pages 55-81

  5. SIMDPS: Smart Industrial Monitoring and Disaster Prevention System

    • Arushi Jain, David Velho, K. S. Sendhil Kumar, U. Sai Sakthi
    Pages 83-103

  6. An Artificial Intelligence Based Sustainable Approaches—IoT Systems for Smart Cities

    • N. Yuvaraj, K. Praghash, J. Logeshwaran, Geno Peter, Albert Alexander Stonier
    Pages 105-120

  7. Empowering Artificial Intelligence of Things (AIoT) Toward Smart Healthcare Systems

    • Ayasha Malik, Veena Parihar, Bhawna, Bharat Bhushan, Lamia Karim
    Pages 121-140

  8. AI Enabled Internet of Medical Things in Smart Healthcare

    • S. Jayachitra, A. Prasanth, S. Hariprasath, R. Benazir Begam, M. Madiajagan
    Pages 141-161

  9. AI Model for Blockchain Based Industrial Application in Healthcare IoT

    • Vimal Bibhu, Lipsa Das, Ajay Rana, Silky Sharma, Shallaja Salagrama
    Pages 163-184

  10. Formation of a Recurrent Neural Network for the Description of IoMT Processes in Restorative Medicine for Post-stroke Patients

    • A. N. Trunov, I. M. Dronyuk, V. S. Martynenko, S. I. Maltsev, I. V. Skopenko, M. Yu. Skoroid
    Pages 185-202

  11. AI and Blockchain for Cyber Security in Cyber-Physical System

    • Manpreet Kaur Aiden, Shweta Mayor Sabharwal, Sonia Chhabra, Mustafa Al-Asadi
    Pages 203-230

  12. Scalable Blockchain Architecture of Internet of Medical Things (IoMT) for Indian Smart Healthcare System

    • Ravinder Kumar, Ritu Rana, Sunil Kumar Jha
    Pages 231-259

  13. Higher Education: AI Applications for Blockchain-Based IoT Technology and Networks

    • R. S. S. Nehru, Ton Quang Cuong, Achanta Ravi Prakash, Bui Thi Thanh Huong
    Pages 261-283

  14. Data Protection and Security Enhancement in Cyber-Physical Systems Using AI and Blockchain

    • K. Vignesh Saravanan, P. Jothi Thilaga, S. Kavipriya, K. Vijayalakshmi
    Pages 285-325

  15. A Study of Smart Evolution on AI-Based Cyber-Physical System Using Blockchain Techniques

    • Asmita Biswas, Koustav Kumar Mondal, Deepsubhra Guha Roy
    Pages 327-346

  16. Integration of AI, Blockchain, and IoT Technologies for Sustainable and Secured Indian Public Distribution System

    • S. Kavi Priya, N. Balaganesh, K. Pon Karthika
    Pages 347-371

  17. Artificial Intelligence (AI) and Internet of Things (IoT): Application in Detecting and Containing the Spread of COVID-19

    • Mohd Anas Wajid, Aasim Zafar, Bharat Bhushan, Akib Mohi Ud Din Khanday, Mohammad Saif Wajid
    Pages 373-392
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Keywords

About this book

The goal of this book is to explore various security paradigms such as Machine Learning, Big data, Cyber Physical Systems, and Blockchain to address both intelligence and reconfigurability in various IoT devices. The book further aims to address and analyze the state of the art of blockchain-based intelligent networks in IoT systems and related technologies including healthcare sector. AI can ease, optimize, and automate the blockchain-based decision-making process for better governance and higher performance in IoT systems. Considering the incredible progress made by AI models, a blockchain system powered by intelligent AI algorithms can detect the existence of any kind of attack and automatically invoke the required defense mechanisms. In case of unavoidable damage, AI models can help to isolate the compromised component from the blockchain platform and safeguard the overall system from crashing. Furthermore, AI models can also contribute toward the robustness and scalability of blockchain-based intelligent IoT networks. The book is designed to be the first-choice reference at university libraries, academic institutions, research and development centers, information technology centers, and any institutions interested in integration of AI and IoT. The intended audience of this book include UG/PG students, Ph.D. scholars of this fields, industry technologists, young entrepreneurs, professionals, network designers, data scientists, technology specialists, practitioners, and people who are interested in exploring the role of AI and blockchain technology in IoT systems.

Editors and Affiliations

  • Department of Computer Science and Engineering, School of Engineering and Technology, Sharda University, Greater Noida, India

    Bharat Bhushan

  • School of Computing Science and Engineering, Vellore Institute of Technology, Vellore, India

    Arun Kumar Sangaiah

  • Intelligent Systems Laboratory (ISL), Department of Computer Science, Kennesaw State University, Marietta, USA

    Tu N. Nguyen

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