Synthetic Network Traffic Data Generation and Classification of Advanced Persistent Threat Samples: A Case Study with GANs and XGBoost - researchr publication authors

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T. J. Anande, Mark S. Leeson. Synthetic Network Traffic Data Generation and Classification of Advanced Persistent Threat Samples: A Case Study with GANs and XGBoost. In Donatello Conte, Ana L. N. Fred, Oleg Gusikhin, Carlo Sansone, editors, Deep Learning Theory and Applications - 4th International Conference, DeLTA 2023, Rome, Italy, July 13-14, 2023, Proceedings. Volume 1875 of Communications in Computer and Information Science, pages 1-18, Springer, 2023. [doi]

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