Advanced machine learning, AI, and cybersecurity in Web3: theoretical knowledge and practical application

In the evolving landscape of Web3, the use of advanced machine learning, artificial intelligence, and cybersecurity transforms industries through theoretical exploration and practical application. The integration of advanced machine learning and AI techniques promises enhanced security protocols, pr...

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Bibliographic Details
Other Authors: Bouarara, Hadj Ahmed 1990- (Editor)
Format: Electronic eBook
Language:English
Published: Hershey, Pennsylvania IGI Global 2024
Series:Advances in web technologies and engineering (AWTE) book series
Subjects:
Online Access:DE-91
DE-1050
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Summary:In the evolving landscape of Web3, the use of advanced machine learning, artificial intelligence, and cybersecurity transforms industries through theoretical exploration and practical application. The integration of advanced machine learning and AI techniques promises enhanced security protocols, predictive analytics, and adaptive defenses against the increasing number of cyber threats. However, these technological improvements also raise questions regarding privacy, transparency, and the ethical implications of AI-driven security measures. Advanced Machine Learning, AI, and Cybersecurity in Web3: Theoretical Knowledge and Practical Application explores theories and applications of improved technological techniques in Web 3.0. It addresses the challenges inherent to decentralization while harnessing the benefits offered by advances, thereby paving the way for a safer and more advanced digital era. Covering topics such as fraud detection, cryptocurrency, and data management, this book is a useful resource for computer engineers, financial institutions, security and IT professionals, business owners, researchers, scientists, and academicians.
Physical Description:1 Online-Ressource (359 Seiten)
ISBN:9781668486887
DOI:10.4018/978-1-6684-8686-3

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