Generative AI for Cybersecurity: Fundamentals, Applications, Risks, and Opportunities
暫譯: 生成式人工智慧在網路安全中的應用:基礎、應用、風險與機會
Nguyen, Diep N., Vu, Ly, Nguyen, Quang Uy
- 出版商: CRC
- 出版日期: 2025-12-16
- 售價: $6,460
- 貴賓價: 9.8 折 $6,331
- 語言: 英文
- 頁數: 272
- 裝訂: Hardcover - also called cloth, retail trade, or trade
- ISBN: 1032820098
- ISBN-13: 9781032820095
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相關分類:
GAN 生成對抗網絡
海外代購書籍(需單獨結帳)
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商品描述
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. These discussions provide a strong understanding of recent advances in the two fields of generative AI and cybersecurity and the convergence of these domains, which will help readers to shape the field as it matures. Hands-on experiments presented throughout will also give them the practical skills for success. By leveraging its capabilities, readers can overcome challenges, understand the risks, enhance performance, and unlock new opportunities for handling the challenges of cybersecurity with generative AI. Consequently, they will be able to apply their knowledge to utilize generative AI in cybersecurity applications to prevent economic and other losses due to cyber risks such as phishing, fake news, deepfake-based fraud, and other cyberattacks. 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.作者簡介
Diep N. Nguyen is the Head of UTS 5G/6G Lab, Director of the Agile Communications and Computing group, Faculty of Engineering and Information Technology, University of Technology Sydney, Australia. He also holds adjunct positions at other universities in the US, Vietnam, and Japan. He received his ME and Ph.D from the University of California San Diego and The University of Arizona in 2008 and 2013, respectively.
Ly T Vu is a Lecturer of at Le Quy Don Technical University (LQDTU). She received her BE and MS degrees from LQDTU, Vietnam, and Inha University, Korea, in 2011 and 2014, respectively. She received her PhD degrees from LQDTU, Vietnam, and University Technology of Sydney, Australia, in 2020 and 2024, respectively. Quang Uy Nguyen is Deputy Head of the Computer Science Department and Director of the Intelligent Computing Research Group at Le Quy Don Technical University. He obtained his BSc, MSc, and PhD in 2004, 2007, and 2011, respectively. He is a member of IEEE. Dinh Thai Hoang is an Associate Professor at University of Technology Sydney. He attained his PhD from the School of Computer Science and Engineering, Nanyang Technological University, Singapore, in 2016. He was listed among the World's Top 2% Scientists by Stanford University from 2020 to 2024.作者簡介(中文翻譯)
Diep N. Nguyen 是澳大利亞悉尼科技大學 (University of Technology Sydney) 5G/6G 實驗室的負責人,並擔任工程與資訊技術學院的敏捷通信與計算小組主任。他還在美國、越南和日本的其他大學擔任兼職職位。他於 2008 年和 2013 年分別在加州大學聖地牙哥分校 (University of California San Diego) 和亞利桑那大學 (The University of Arizona) 獲得碩士和博士學位。
Ly T Vu 是越南黎貴棠技術大學 (Le Quy Don Technical University, LQDTU) 的講師。她於 2011 年和 2014 年分別在 LQDTU 和韓國仁荷大學 (Inha University) 獲得工程學士和碩士學位。她於 2020 年和 2024 年分別在 LQDTU 和澳大利亞悉尼科技大學獲得博士學位。Quang Uy Nguyen 是黎貴棠技術大學計算機科學系的副主任及智能計算研究小組的主任。他於 2004 年、2007 年和 2011 年分別獲得學士、碩士和博士學位。他是 IEEE 的成員。Dinh Thai Hoang 是澳大利亞悉尼科技大學的副教授。他於 2016 年在新加坡南洋理工大學 (Nanyang Technological University) 的計算機科學與工程學院獲得博士學位。他在 2020 年至 2024 年期間被史丹佛大學列為全球前 2% 科學家之一。