
Computer Science
A Review of Generative Models in Generating Synthetic Attack Data for Cybersecurity
G. Agrawal, A. Kaur, et al.
Discover how deep learning can revolutionize cybersecurity through the exploration of synthetic data generation by Garima Agrawal, Amardeep Kaur, and Sowmya Myneni. This research delves into generative adversarial networks (GANs) and their potential in creating realistic cyberattack data, offering insights into training deep learning models while addressing privacy concerns.
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