The 6th Joint International Conference on AI, Big Data and Blockchain (AIBB 2025) | ISBN 9783032047281

The 6th Joint International Conference on AI, Big Data and Blockchain (AIBB 2025)

herausgegeben von Irfan Awan, Muhammad Younas, George Ghinea, Grønli Tor-Morten und Sevil Şen
Mitwirkende
Herausgegeben vonIrfan Awan
Herausgegeben vonMuhammad Younas
Herausgegeben vonGeorge Ghinea
Herausgegeben vonGrønli Tor-Morten
Herausgegeben vonSevil Şen
Buchcover The 6th Joint International Conference on AI, Big Data and Blockchain (AIBB 2025)  | EAN 9783032047281 | ISBN 3-032-04728-5 | ISBN 978-3-032-04728-1

The 6th Joint International Conference on AI, Big Data and Blockchain (AIBB 2025)

herausgegeben von Irfan Awan, Muhammad Younas, George Ghinea, Grønli Tor-Morten und Sevil Şen
Mitwirkende
Herausgegeben vonIrfan Awan
Herausgegeben vonMuhammad Younas
Herausgegeben vonGeorge Ghinea
Herausgegeben vonGrønli Tor-Morten
Herausgegeben vonSevil Şen

This book brings together peer-reviewed research contributions exploring cutting-edge developments in AI, big data, and blockchain—fields that are transforming industries today. Written by leading experts, the chapters showcase advances in:

  • AI methodologies and modelling—including machine learning and deep neural networks
  • Big data analytics to uncover hidden patterns and insights
  • Blockchain-based data management methods, privacy-preserving architecture and trust-enhancing systems
  • Security threat detection, fraud prevention and privacy-preserving applications

 

With applications ranging from industrial-scale systems to real-world, high-stakes environments, this book serves as an essential resource for:

  • Researchers exploring next-generation AI, blockchain and data science approaches
  • Practitioners and developers implementing enterprise-scale solutions
  • Industry professionals and policy-makers seeking best practices in secure, transparent and accountable computing

This book offers both theoretical depth and applied relevance, making it a valuable reference to guide innovation in data-driven and decentralised systems.