Advanced Machine Learning, AI, and Cybersecurity in Web3: Theoretical Knowledge and Practical Application
Author | : Bouarara, Hadj Ahmed |
Publisher | : IGI Global |
Total Pages | : 354 |
Release | : 2024-08-23 |
ISBN-10 | : 9781668486887 |
ISBN-13 | : 1668486881 |
Rating | : 4/5 (881 Downloads) |
Download or read book Advanced Machine Learning, AI, and Cybersecurity in Web3: Theoretical Knowledge and Practical Application written by Bouarara, Hadj Ahmed and published by IGI Global. This book was released on 2024-08-23 with total page 354 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.