Decentralized Futures
Navigating the Integration of Blockchain Technology with Artificial Intelligence
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Product details:
- Edition number 1
- Publisher CRC Press
- Date of Publication 26 October 2026
- ISBN 9781041111665
- Binding Hardback
- No. of pages322 pages
- Size 234x156 mm
- Language English
- Illustrations 62 Illustrations, black & white; 2 Halftones, black & white; 60 Line drawings, black & white; 10 Tables, black & white 700
Categories
Short description:
This book explores blockchain technology, covering applications, security, and AI integration. It examines blockchain frameworks, consensus mechanisms, and machine learning techniques for fraud detection and data analysis. Targeted at data scientists, engineers, researchers, and students interested in blockchain-AI integration.
MoreLong description:
This book provides readers with a comprehensive grasp of blockchain technology by exploring its applications, security measures, and protocols along with the need for safe blockchain networks, and the incorporation of artificial intelligence (AI) improving blockchain performance.
Decentralized Futures: Navigating the Integration of Blockchain Technology with Artificial Intelligence seeks to provide readers with a thorough understanding of blockchain technology, delving into use cases, security, and the integration of AI. The book initially focuses on the characteristics of blockchain, along with different frameworks. The authors delve into machine learning techniques to identify suspicious and fraudulent transaction patterns, such as in behavior analysis, and examine AI-based clustering and classification techniques to break apart blockchain data for easier processing and more efficient analysis. In addition, this book also has a deep dive into the consensus mechanisms that makes blockchain more effective. The book contains case studies from real-world applications, and readers will learn by applying the take-home messages and guidance in these case studies to their works. The book explores the integration of AI with blockchain to make decentralized futures in an effective way. It will also give an explorative idea of opportunities and challenges of this integration.
This book targets a mixed audience of data scientists, engineers, researchers, academics, and students on different levels to share and contribute cutting-edge technologies, methodologies, frameworks, and practices in blockchain integrated with AI.
Table of Contents:
Chapter 1 Introduction to Blockchain Technology: A Revolutionary Paradigm Shift Chapter 2 Integrating Internet of Things (IoT) and Blockchain: Current Applications, Challenges, and Future Perspectives Chapter 3 Blockchain Technology: Foundations, Challenges, and Future Prospects Chapter 4 Biologically Plausible Spiking Neural Networks for Blockchain Technology: A Review of Synergies and Challenges Chapter 5 Enhancing Security and Transparency in AI with Blockchain Chapter 6 Enhancing UPI security with AI: An Ensemble-Based Fraud Detection Model Chapter 7 Decentralized Machine Learning: Opportunities and Challenges Chapter 8 Enhancing Supply Chain Sustainability Through Blockchain Technology: A Scholarly Analysis Chapter 9 BASIS-IoT: Blockchain and AI-integrated SDN-based Framework for Smart Irrigation Systems in IoT Environments Chapter 10 Decentralized Identity and AI-Powered Identity Management Chapter 11 IMBM: Integrating Metaverse, Blockchain, and Machine Learning models for effective Disease diagnosis Chapter 12 Modelling Herding and Contagion Effects in Digital Currencies: A Comparative Study of Holt-Winters and Deep Learning Approaches Chapter 13 Privacy-Preserving AI Through Blockchain and Federated Learning Chapter 14 Blockchain-Based Intelligent Transportation Management System
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