Generative Adversarial Networks for Cybersecurity: by E. Chan... - 9781041098010

Generative Adversarial Networks for Cybersecurity:Protecting Data and Networks\nAuthor(s): E. Chandra Blessie, Pethuru Raj, B. Sundaravadivazhagan\nFormat: Hardback\nPublisher: Taylor & Francis Ltd, United Kingdom\nImprint: Auerbach\nISBN-13: 9781041098010, 978-1041098010\nSynopsis\nGenerative Adversarial Networks (GANs) play a crucial dual role in cybersecurity, serving both as powerful defensive tools and sophisticated attack vectors that security professionals must understand and counter. GANs are invaluable for generating synthetic datasets to train cybersecurity models when real attack data is scarce or sensitive, creating realistic network traffic patterns for testing intrusion detection systems, and augmenting threat intelligence by simulating various attack scenarios without exposing actual vulnerabilities.\n\nExploring the application of GAN models in intrusion detection, anomaly detection, and cybercrime, Generative Adversarial Networks for Cybersecurity: Protecting Dat.