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Blockchain intelligence : methods, applications and challenges / Zibin Zheng, Hong-Ning Dai, Jiajing Wu, editors.

Zheng, Zibin, editor.; Dai, Hong-Ning, editor.; Wu, Jiajing, editor.
2021
Q335 .B56 2021
Available Online
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Title
Blockchain intelligence : methods, applications and challenges / Zibin Zheng, Hong-Ning Dai, Jiajing Wu, editors.
ISBN
9789811601279 (electronic book)
9811601275 (electronic book)
9789811601286 (print)
9811601283
9789811601293 (print)
9811601291
9811601267
9789811601262
DOI
https://doi.org/10.1007/978-981-16-0127-9
Published
Singapore : Springer, [2021]
Language
English
Description
1 online resource (ix, 166 pages) : illustrations (some color)
Item Number
10.1007/978-981-16-0127-9 doi
Call Number
Q335 .B56 2021
Dewey Decimal Classification
006.3
Summary
This book focuses on using artificial intelligence (AI) to improve blockchain ecosystems. Gathering the latest advances resulting from AI in blockchain data analytics, it also presents big data research on blockchain systems. 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.
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Access limited to authorized users.
Digital File Characteristics
text file
PDF
Source of Description
Online resource; title from digital title page (viewed on June 17, 2021).
Added Author
Zheng, Zibin, editor.
Dai, Hong-Ning, editor.
Wu, Jiajing, editor.
Available in Other Form
Blockchain intelligence.
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Chapter 1 Overview of blockchain and smart contract
Chapter 2 On-chain and Off-Chain Blockchain Data Collection
Chapter 3 Analysis and Mining of Blockchain Transaction Network
Chapter 4 Intelligence Driven Optimization of Smart Contracts
Chapter 5 Misbehavior Detection on Blockchain Data
Chapter 6 Market Analysis of Blockchain-based Cryptocurrencies
Chapter 7 Open research problems.

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