About the BOOK: AI-Embedded Blockchain Technologies and Applications: Enhancing Cybersecurity Systems in Smart Environments

  •   CFP Information:   EasyChair CFP Information
  •   Submission: AI-Blockchain-Cybersecurity-2024
  • Abstract registration deadline: Jan 31, 2024
  • Acceptance Notification: Jan 31, 2024
  • Full-Chapter Submission deadline: Mar 31, 2024
  • Full-Length Chapter Decision: Mar 31, 2024
  • Revised Chapter Submission: Apr 30, 2024
  • Wiley and Author Agreement: May 31, 2024
  • Submission deadline: May 31, 2024
  • Wiley-IEEE Submission deadline: May 31, 2024

AI-Embedded Blockchain Technologies and Applications: Enhancing Cybersecurity Systems in Smart Environments

Editor's contacts

All questions about submissions should be emailed to

Dr. Alex Khang
  • Professor of IT, D.Sc., D.Litt.
  • AI & Data Scientist
  • Global Research Institute of Technology and Engineering
  • North Carolina, United States
  • ORCID: 0000-0001-8379-4659
  • alex.khang@outlook.com
Dr. Namrata Dhanda, Professor
  • Department of Computer Science and Engineering
  • Amity University
  • Uttar Pradesh, Lucknow Campus, India
  • ORCID: 0000-0003-0395-0696
  • ndhanda@lko.amity.edu
Dr. Rajat Verma, Assistant Professor
  • Department of Computer Science and Engineering
  • Pranveer Singh Institute of Technology
  • Kanpur, Uttar Pradesh, India
  • ORCID: 0000-0001-5707-2695
  • rajat.verma@psit.ac.in
Abstracting and Indexing
  • All Wiley-IEEE publications have a direct indexed by WoS and Scopus.
  • At present, WoS contains 10,000+ books and Wiley-IEEE in the top ten contributing publishers.

AI-Embedded Blockchain Technologies and Applications: Enhancing Cybersecurity Systems in Smart Environments

The book explores the intersection of two cutting-edge technologies, machine learning and blockchain, and their potential to enhance the cybersecurity of systems in smart and intelligent environments. This technical description provides an overview of the key concepts and technologies covered in the book. The book begins with an introduction to the growing challenges of cybersecurity in smart and intelligent environments. It highlights the increasing complexity and interconnectedness of modern systems, leading to vulnerabilities and the need for innovative solutions. This book targets a mixed audience of specialists, analysts, engineers, scholars, researchers, academics, professionals, and students from different communities to share and contribute new ideas, methodologies, technologies, approaches, models, frameworks, theories and practices in Blockchain technology, Machine learning, Deep learning, and Data engineering to resolve the challenging issues associated with the leveraging of combating the nine fields of Fundamentals of Machine Learning, Application of Machine Learning in Cybersecurity, Introduction to Blockchain Technology, Blockchain in Cybersecurity, Integration of Machine Learning and Blockchain, Case Studies and Practical Implementations, Future Directions and Research Opportunities, More about Blockchain, More about Artificial Intelligence (AI) & Machine Learning (ML).

We really believe that the technologies and applications of the “AI-Embedded Blockchain Technologies and Applications: Enhancing Cybersecurity Systems in Smart Environments” book will favor the people's aspirations.

Publication

AI-Embedded Blockchain Technologies and Applications: Enhancing Cybersecurity Systems in Smart Environments book proceedings will be published by Wiley-IEEE Press, Hoboken, New Jersey, USA

Publication Charge

No Publication Charge

Benefits for Contributor

Each Contributor shall receive an ACADEMIC CERTIFICATE as the copyright of the Contribution and 01 complimentary eBook copy of the Work in which the Contribution appears.

List of Topics:

This book targets a mixed audience of specialists, analysts, engineers, scholars, researchers, academics, professionals, and students from different communities to share and contribute new ideas, methodologies, technologies, approaches, models, frameworks, theories and practices in Quantum technology to resolve the challenging issues associated with the leveraging of combating the nine fields of Fundamentals of Machine Learning, Application of Machine Learning in Cybersecurity, Introduction to Blockchain Technology, Blockchain in Cybersecurity, Integration of Machine Learning and Blockchain, Case Studies and Practical Implementations, Future Directions and Research Opportunities, and More about Blockchain.

You are invited to contribute chapters and papers and the scope of the book includes but is not limited to the following topics:

  • Role of AI & Blockchain Technology in Digital Economy
  • Evolution of Blockchain From Blockchain 1.0 to Blockchain 4.0
  • AI Algorithms and Blockchain Technology in the Era of Digital Economy
  • Enhancing Security of Smart Environments Using AI-Based Blockchain Technology
  • AI-Based Blockchain Technology for Security in Government Policies
  • AI-Based Blockchain Technology for Security in Financial Sectors
  • Secure Networking Using AI-Based Blockchain Technology
  • Empowering Autonomous Systems with Blockchain in Manufacturing
  • Quantum Computing Blockchain Technologies and Applications
  • Machine Learning-Based Blockchain for Smart Healthcare Sector
  • Enhanced Security of Data Transformation in Mobile Banking
  • The Application of AI-Enabled Blockchain in Multidisciplinary Business
  • AI-Based Blockchain for Sustainable Security of Smart Environments
  • Application of Blockchain-Driven Data Security in Smart Environments
  • AI-Based Blockchain CyberSecurity Technology in Bioinformatics Sector
  • AI-Based Blockchain CyberSecurity Technology in Supply Chain Sector
  • AI-Based Blockchain CyberSecurity Technology in Education Sector
  • AI-Based Blockchain CyberSecurity Technology in Agriculture Sector
  • AI-Based Blockchain CyberSecurity Technology in Gig Economy
  • AI-Based Blockchain CyberSecurity Technology in HR and TM Sector
  • AI-Based Blockchain CyberSecurity Technology in Smart City