Deep Learning vs. Traditional Approaches to Malware Traffic Classification - A Comparative Study

Jacek Krupski, Damian Rybicki, Waldemar Graniszewski, Marcin Iwanowski. Deep Learning vs. Traditional Approaches to Malware Traffic Classification - A Comparative Study. In Michal Choras, Ryszard S. Choras, Marek Kurzynski, Pawel Trajdos, Jerzy Pejas, Tomasz Hyla, editors, Progress in Image Processing, Pattern Recognition and Communication Systems - Proceedings of the Conference (CORES, IP&C, ACS), Virtual Event / Bydgoszcz, Poland, June 28-30, 2021. Volume 255 of Lecture Notes in Networks and Systems, pages 201-209, Springer, 2021. [doi]

@inproceedings{KrupskiRGI21,
  title = {Deep Learning vs. Traditional Approaches to Malware Traffic Classification - A Comparative Study},
  author = {Jacek Krupski and Damian Rybicki and Waldemar Graniszewski and Marcin Iwanowski},
  year = {2021},
  doi = {10.1007/978-3-030-81523-3_20},
  url = {https://doi.org/10.1007/978-3-030-81523-3_20},
  researchr = {https://researchr.org/publication/KrupskiRGI21},
  cites = {0},
  citedby = {0},
  pages = {201-209},
  booktitle = {Progress in Image Processing, Pattern Recognition and Communication Systems - Proceedings of the Conference (CORES, IP&C, ACS), Virtual Event / Bydgoszcz, Poland, June 28-30, 2021},
  editor = {Michal Choras and Ryszard S. Choras and Marek Kurzynski and Pawel Trajdos and Jerzy Pejas and Tomasz Hyla},
  volume = {255},
  series = {Lecture Notes in Networks and Systems},
  publisher = {Springer},
  isbn = {978-3-030-81523-3},
}