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

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]

@inproceedings{AnandeL23,
  title = {Synthetic Network Traffic Data Generation and Classification of Advanced Persistent Threat Samples: A Case Study with GANs and XGBoost},
  author = {T. J. Anande and Mark S. Leeson},
  year = {2023},
  doi = {10.1007/978-3-031-39059-3_1},
  url = {https://doi.org/10.1007/978-3-031-39059-3_1},
  researchr = {https://researchr.org/publication/AnandeL23},
  cites = {0},
  citedby = {0},
  pages = {1-18},
  booktitle = {Deep Learning Theory and Applications - 4th International Conference, DeLTA 2023, Rome, Italy, July 13-14, 2023, Proceedings},
  editor = {Donatello Conte and Ana L. N. Fred and Oleg Gusikhin and Carlo Sansone},
  volume = {1875},
  series = {Communications in Computer and Information Science},
  publisher = {Springer},
  isbn = {978-3-031-39059-3},
}