Blockchain Intelligence

Methods, Applications and Challenges de

, ,

Éditeur :

Springer


Paru le : 2021-05-31

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Description

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.

Pages
166 pages
Collection
n.c
Parution
2021-05-31
Marque
Springer
EAN papier
9789811601262
EAN PDF
9789811601279

Informations sur l'ebook
Nombre pages copiables
1
Nombre pages imprimables
16
Taille du fichier
5499 Ko
Prix
147,69 €
EAN EPUB
9789811601279

Informations sur l'ebook
Nombre pages copiables
1
Nombre pages imprimables
16
Taille du fichier
18115 Ko
Prix
147,69 €

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