Overview
- Broadens readers’ understanding of blockchain and artificial intelligence
- Summarises the latest studies on the integration of blockchain and artificial intelligence
- Includes case studies of blockchain intelligence in most popular blockchain platforms
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Table of contents (7 chapters)
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Front Matter
Keywords
About this book
Despite blockchain's merits of decentralisation, immutability, non-repudiation and traceability, the development of blockchain technology has faced a number of challenges, such as the difficulty of data analytics on encrypted blockchain data, poor scalability, software vulnerabilities, and the scarcity of appropriate incentive mechanisms. Combining AI with blockchain has the potential to overcome the limitations, and machine learning-based approaches may help to analyse blockchain data and to identify misbehaviours in blockchain. In addition, deep reinforcement learning methods can be used to improve the reliability of blockchain systems.
This book focuses in the use of AI to improve blockchain systems and promote blockchain intelligence. It describes data extraction, exploration and analytics on representative blockchain systems such as Bitcoin and Ethereum. It also includes data analytics on smart contracts, misbehaviour detection on blockchain data, and market analysis of blockchain-based cryptocurrencies. As such, this book provides researchers and practitioners alike with valuable insights into big data analysis of blockchain data, AI-enabled blockchain systems, and applications driven by blockchain intelligence.
Editors and Affiliations
About the editors
Hong-Ning Dai received the Ph.D. degree in computer science and engineering from the Department of Computer Science and Engineering, Chinese University of Hong Kong. He is currently an Associate Professor with the Faculty of Information Technology, Macau University of Science and Technology. His research interests include blockchain, big data analytics, and Internet of Things. He also serves as associate editors/editors of IEEE Systems Journal, IEEE Access, Connection Science (Taylor& Francis), Ad hoc Networks (Elsevier), and guest editors of IEEE Transactions of Industrial Informatics and IEEE Transactions on Emerging Topics in Computing. He is a senior member of IEEE and a senior member of ACM. He was awarded with BOC Excellent Research Award of Macau University of Science and Technology in 2015.
Jiajing Wu received the Ph.D. degree from Hong Kong Polytechnic University, Hong Kong, in 2014. She was a recipient of the Hong Kong PhD Fellowship Scheme during her Ph.D. study in Hong Kong (2010--2014). In 2015, she joined the Sun Yat-sen University, Guangzhou, China, where she is currently an Associate Professor. Her research focus includes blockchain, graph mining, network science. She serves as an Associate Editor for IEEE Transactions on Circuits and Systems II: Express Briefs, and Guest Editor for Chaos and Sensors. She is IEEE senior member.
Bibliographic Information
Book Title: Blockchain Intelligence
Book Subtitle: Methods, Applications and Challenges
Editors: Zibin Zheng, Hong-Ning Dai, Jiajing Wu
DOI: https://doi.org/10.1007/978-981-16-0127-9
Publisher: Springer Singapore
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2021
Hardcover ISBN: 978-981-16-0126-2Published: 01 June 2021
Softcover ISBN: 978-981-16-0129-3Published: 02 June 2022
eBook ISBN: 978-981-16-0127-9Published: 31 May 2021
Edition Number: 1
Number of Pages: IX, 166
Number of Illustrations: 12 b/w illustrations, 47 illustrations in colour
Topics: Professional Computing, Artificial Intelligence, Data Mining and Knowledge Discovery, Software Engineering/Programming and Operating Systems