Generative AI for Cybersecurity by Diep N. Nguyen (.ePUB)+
File Size: 35.2 MB
Generative AI for Cybersecurity: Fundamentals, Applications, Risks, and Opportunities by Diep N. Nguyen, Ly Vu, Quang Uy Nguyen, Dinh Thai Hoang
Requirements: .ePUB, .PDF reader, 35.2 MB
Overview: This book lays a systematic foundation for professionals, researchers, and industry readers who are interested the applications and implications of generative AI for cybersecurity. It covers the latest advances in Generative AI and its applications, risks, and opportunities in cybersecurity. The authors first introduce the fundamental background of Generative AI, the latest cybersecurity issues, and related potential applications in cybersecurity systems. Following this, they comprehensively review the state-of-the-art research and development, covering various aspects of generative AI applications in this area and related challenges and issues, such as training data availability, computational complexity, generalization to different scenarios, AI governance, quantum-empowered AI and many more. The contents of this book are appropriate for a wide range of readers from general readers to industry experts and scientists. Because it bridges the gap between Generative AI and cybersecurity, experts from both fields will benefit from the information presented within. Students with a background in either area will also benefit from the approach that leads from general to specific applications.
Genre: Non-Fiction > Tech & Devices
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