Integrating Artificial Intelligence and Machine Learning with Blockchain Security. Integrating Artificial Intelligence and Machine Learning with Blockchain Security / edited by D. Jeya Mala and R. Ganesan.
2023
Q335 .I584 2023
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Title
Integrating Artificial Intelligence and Machine Learning with Blockchain Security.
Integrating Artificial Intelligence and Machine Learning with Blockchain Security / edited by D. Jeya Mala and R. Ganesan.
Integrating Artificial Intelligence and Machine Learning with Blockchain Security / edited by D. Jeya Mala and R. Ganesan.
Author
Edition
First edition.
ISBN
9781527530119
9781527530126
9781527530126
Published
Newcastle upon Tyne, England : Cambridge Scholars Publishing, [2023]
Copyright
©2023
Language
English
Description
1 online resource (xii, 289 pages) : illustrations.
Call Number
Q335 .I584 2023
Dewey Decimal Classification
006.3
Summary
Due to its transparency and dependability in secure online transactions, blockchain technology has grown in prominence in recent years. Several industries, including those of finance, healthcare, energy and utilities, manufacturing, retail marketing, entertainment and media, supply chains, e-commerce, and e-business, among others, use blockchain technology.In order to enable intelligent decision-making to prevent security assaults, particularly in permission-less blockchain platforms, artificial intelligence (AI) techniques and machine learning (ML) algorithms are used. By exploring the numerous use cases and security methods used in each of them, this book offers insight on the application of AI and ML in blockchain security principles. The book argues that it is crucial to include artificial intelligence and machine learning techniques in blockchain technology in order to increase security.
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