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Generative Adversarial Networks for Cybersecurity:: Protecting Data and Networks
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Generative Adversarial Networks for Cybersecurity:: Protecting Data and Networks
This book explores the application of diversified generative adversarial network (GAN) models in the fields of intrusion detection, anomaly detection, and cybercrime. It discusses how GANs can be smartly applied to pinpoint vulnerabilities and security attacks, as well as discusses ethical and privacy concerns.
| Media | Books Hardcover Book (Book with hard spine and cover) |
| Released | May 6, 2026 |
| ISBN13 | 9781041098010 |
| Publishers | Taylor & Francis Ltd |
| Pages | 248 |
| Dimensions | 150 × 220 × 20 mm · 640 g |
| Editor | Chandra Blessie, E. |
| Editor | Raj, Pethuru |
| Editor | Sundaravadivazhagan, B. |
