The 6th Joint International Conference on AI, Big Data and Blockchain (AIBB 2025)
Synopsis
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:
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AI methodologies and modelling-including machine learning and deep neural networks
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Big data analytics to uncover hidden patterns and insights
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Blockchain-based data management methods, privacy-preserving architecture and trust-enhancing systems
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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:
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Researchers exploring next-generation AI, blockchain and data science approaches
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Practitioners and developers implementing enterprise-scale solutions
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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.
Publisher information
- Publisher: Springer Nature Switzerland
- ISBN: 9783032047274
- Number of pages: 205
- Dimensions: 235 x 155 x 235 mm
- Weight: 342g
- Languages: English
