Integrating Artificial Intelligence and Machine Learning with Blockchain Security
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.
Dr D. Jeya Mala is Associate Professor Senior at the Vellore Institute of Technology, India. She has more than 24 years of teaching, research and industrial experience. She is a listee of SEBASE repository of University College London, UK. She has produced more than 60 publications, including research papers, books and chapters along with a Massive Open Online Course (MOOC) for Udemy. She has formed the editorial and reviewer boards of several journals and conferences. Her research interests include artificial intelligence, software engineering, blockchain, and healthcare analytics.
Dr R. Ganesan has been a professor and the Dean of the School of Computer Science and Engineering at Vellore Institute of Technology, India, since 2012. He has more than 24 years of teaching experience. His areas of research interest are information security, network security, and blockchain. He has published several research papers and is a reviewer for various national and international journals. He was also certified as an International Organization for Standardization (ISO) internal auditor by TÜV Rheinland (India) Pvt. Ltd. in 2007.
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